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Medial preoptic PNOC neurons constrain brown adipose tissue thermogenesis and energy expenditure

GSE292387 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2026/06/02 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 5 × BAT_CRE vs 5 × BAT_WTGroups 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)
The preoptic area (POA) of the hypothalamus is a key neural hub for thermoregulation, yet its role in modulating energy expenditure during caloric excess remains poorly defined. Here, we characterize prepronociceptin (PNOC)-expressing neurons in the medial POA (PNOCmPOA) that inhibit brown adipose tissue (BAT) thermogenesis and systemic energy expenditure.
Read the full summary ↓
Chemogenetic activation of PNOCmPOA neurons reduced BAT activity, core temperature, energy expenditure, and glucose tolerance through inhibitory projections to the dorsomedial hypothalamus (DMH). In contrast, silencing or ablation of PNOCmPOA neurons increased BAT thermogenesis. Furthermore, PNOCmPOA activation promoted non-REM sleep, coupling thermoregulatory and arousal states. These findings define a hypothalamic circuit that limits postprandial arousal, thermogenesis, and energy dissipation, contributing to the pathophysiology of obesity. Targeting the PNOCmPOA→DMH pathway may provide a new therapeutic strategy to enhance BAT function in metabolic disease.
This dataset
Open GSE292387 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 GSE292387_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 PRJNA1238289 and SRA study SRP571634. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 × BAT_CRE vs 5 × BAT_WT

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.