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Hypothalamic PNOC/NPY neurons constitute mediators of leptin-controlled energy homeostasis

GSE292416 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/04/23 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × Pnoc_LepR_KO_Input vs 4 × Pnoc_LepR_KO_Pulldown vs 4 × Pnoc_LepR_WT_Input vs 4 × Pnoc_LepR_WT_PulldownGroups 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
Hypothalamic PNOC/NPY neurons constitute mediators of leptin-controlled energy homeostasisCell · 2025
Summary (written by the submitters)
We show that leptin regulates appetite and body weight via PNOC neurons, and that loss of leptin receptor expression in PNOC-expressing neurons in the arcuate nucleus of the hypothalamus (ARC) causes hyperphagia and obesity. Lepr inactivation in PNOC neurons increases Npy expression in a subset of hypothalamic PNOC neurons that do not express Agrp and selective chemogenetic activation of PNOC/NPY neurons promotes feeding to the same extent as activating all PNOCARC neurons and overexpression of Npy in PNOCARC neurons promotes hyperphagia and obesity.
Read the full summary ↓
Thus, we introduce PNOC/NPYARC neurons as an additional critical mediator of leptin action and a promising target for obesity therapeutics.
Published in
Hypothalamic PNOC/NPY neurons constitute mediators of leptin-controlled energy homeostasis
Solheim MH, Stroganov S, Chen W et al. · Cell 2025 · PMID 40273910 · doi:10.1016/j.cell.2025.04.001
This dataset
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.

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 GSE292416_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1238345 and SRA study SRP571670. Searching any of these in the dataset finder brings you back here.

Study design
4 × Pnoc_LepR_KO_Input vs 4 × Pnoc_LepR_KO_Pulldown vs 4 × Pnoc_LepR_WT_Input vs 4 × Pnoc_LepR_WT_Pulldown

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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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