GEO series

A catecholamine-independent pathway controlling adaptive adipocyte lipolysis

GSE275147 Mus musculus (mouse) RNA-seq (gene expression) 79 samples Submitted 2025/10/27 Platform GPL28457

At a glance

RNA-seq (gene expression) · mouse · 79 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: 79 samples: 16 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.
Paper: A catecholamine-independent pathway controlling adaptive adipocyte lipolysisNature metabolism · 2026

Summary (written by the submitters)

Several adipose depots, including constitutive bone marrow adipose tissue, resist conventional lipolytic cues. However, under starvation, wasting or cachexia, the body eventually catabolizes stable adipocytes through unknown mechanisms. Here we developed a mouse model of brain-evoked depletion of all fat, including stable constitutive bone marrow adipose tissue, independent of food intake, to study this phenomenon.

Read the full summary ↓

Genetic, surgical and chemical approaches demonstrated that catabolism of stable adipocytes required adipose triglyceride lipase-dependent lipolysis but was independent of local nerves, the sympathetic nervous system and catecholamines. Instead, concurrent hypoglycaemia and hypoinsulinaemia activated a potent catabolic state by suppressing lipid storage and increasing catecholamine-independent lipolysis via downregulation of cell-autonomous lipolytic inhibitors including G0s2. This was also sufficient to delipidate classical adipose depots and was recapitulated in tumour-associated cachexic mice. Overall, this defines unique adaptations of stable adipocytes to resist lipolysis in healthy states while isolating a potent catecholamine-independent neurosystemic pathway by which the body can rapidly catabolize all adipose tissues.

Published in

A catecholamine-independent pathway controlling adaptive adipocyte lipolysis

Zhang X, Panicker SS, Bollinger JM et al. · Nature metabolism 2026 · PMID 41507664 · doi:10.1038/s42255-025-01424-5

This dataset

Open GSE275147 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 GSE275147_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 PRJNA1149691 and SRA study SRP527355. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41507664) ↗

Study design

16 conditions, mostly with about 5 replicates each

Male WT CV, leptin, ×8 Male WT CV, leptin + insulin, ×6 Female WT iWAT, leptin, ×5 Female WT iWAT, PBS, ×5 Female WT CV, leptin, ×5 Female WT CV, PBS, ×5 Female WT LV, leptin, ×5 Female WT LV, PBS, ×5 +8 more

Supports a between-group comparison across 79 samples.

How we read this: 16 replicated groups read from 79 sample titles; they account for 79 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

GSM8471435 Female WT iWAT, leptin, bio rep 1 Female WT iWAT, leptin,
GSM8471436 Female WT iWAT, leptin, bio rep 2 Female WT iWAT, leptin,
GSM8471437 Female WT iWAT, PBS, bio rep 1 Female WT iWAT, PBS,
GSM8471438 Female WT iWAT, PBS, bio rep 2 Female WT iWAT, PBS,
GSM8471439 Female WT iWAT, PBS, bio rep 3 Female WT iWAT, PBS,
GSM8471440 Female WT iWAT, leptin, bio rep 3 Female WT iWAT, leptin,
GSM8471441 Female WT iWAT, leptin, bio rep 4 Female WT iWAT, leptin,
GSM8471442 Female WT iWAT, leptin, bio rep 5 Female WT iWAT, leptin,
GSM8471443 Female WT iWAT, PBS, bio rep 4 Female WT iWAT, PBS,
GSM8471444 Female WT iWAT, PBS, bio rep 5 Female WT iWAT, PBS,
GSM8471445 Female KO CV, PBS, bio rep 1 Female KO CV, PBS,
GSM8471446 Female KO CV, PBS, bio rep 2 Female KO CV, PBS,
GSM8471447 Female KO CV, leptin, bio rep 1 Female KO CV, leptin,
GSM8471448 Female KO CV, leptin, bio rep 2 Female KO CV, leptin,
GSM8471449 Female KO CV, leptin, bio rep 3 Female KO CV, leptin,
GSM8471450 Female WT CV, leptin, bio rep 1 Female WT CV, leptin,
GSM8471451 Female WT CV, leptin, bio rep 2 Female WT CV, leptin,
GSM8471452 Female WT CV, PBS, bio rep 1 Female WT CV, PBS,
GSM8471453 Female WT CV, PBS, bio rep 2 Female WT CV, PBS,
GSM8471454 Female WT CV, PBS, bio rep 3 Female WT CV, PBS,
GSM8471455 Female KO CV, leptin, bio rep 4 Female KO CV, leptin,
GSM8471456 Female KO CV, PBS, bio rep 3 Female KO CV, PBS,
GSM8471457 Female WT CV, leptin, bio rep 3 Female WT CV, leptin,
GSM8471458 Female WT CV, leptin, bio rep 4 Female WT CV, leptin,
GSM8471459 Female WT CV, leptin, bio rep 5 Female WT CV, leptin,
GSM8471460 Female WT CV, PBS, bio rep 4 Female WT CV, PBS,
GSM8471461 Female WT CV, PBS, bio rep 5 Female WT CV, PBS,
GSM8471462 Female KO CV, PBS, bio rep 4 Female KO CV, PBS,
GSM8471463 Female KO LV, PBS, bio rep 1 Female KO LV, PBS,
GSM8471464 Female KO LV, PBS, bio rep 2 Female KO LV, PBS,
GSM8471465 Female KO LV, leptin, bio rep 1 Female KO LV, leptin,
GSM8471466 Female KO LV, leptin, bio rep 2 Female KO LV, leptin,
GSM8471467 Female KO LV, leptin, bio rep 3 Female KO LV, leptin,
GSM8471468 Female WT LV, leptin, bio rep 1 Female WT LV, leptin,
GSM8471469 Female WT LV, leptin, bio rep 2 Female WT LV, leptin,
GSM8471470 Female WT LV, PBS, bio rep 1 Female WT LV, PBS,
GSM8471471 Female WT LV, PBS, bio rep 2 Female WT LV, PBS,
GSM8471472 Female WT LV, PBS, bio rep 3 Female WT LV, PBS,
GSM8471473 Female KO LV, leptin, bio rep 4 Female KO LV, leptin,
GSM8471474 Female KO LV, PBS, bio rep 3 Female KO LV, PBS,

+ 39 more — browse all 79 samples with per-sample file links →

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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.