GEO series

Perineurium integrates leptin with its sympathetic outflow to protect against obesity

GSE233163 Mus musculus (mouse) Single-cell RNA-seq 12 samples Submitted 2026/05/26 Platform GPL19057

At a glance

Single-cell RNA-seq · mouse · 12 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism: Mus musculus (mouse)
Samples: 12 samples: 10 distinct titles, 2 of them repeatedGroups 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 regulatory mechanism of leptin's afferent action in the brain is contingent upon the efferent sympathetic innervation of white and brown adipose tissues. Nonetheless, the peripheral regulation governing the the afferent-efferent balance remains ambiguous. Here, we show the enriched expression of both leptin receptor (Lepr) and β2 adrenergic receptor (Adrb2) in perineurial cells that form a barrier around sympathetic ganglia and nerve bundles in adipose tissues, using single-cell RNA sequencing on murine sympathetic ganglia.

Read the full summary ↓

Lepr+ Sympathetic Perineurial Cells (SPCs) are molecularly similar to endothelial cells. Conditional knockout of Adrb2 in Lepr+ cells, including SPCs predisposes male mice to obesity, by lowering energy expenditure and thermogenesis without affecting food intake. Notably, obesity-associated hyperleptinemia causes apoptosis in SPCs, disrupting the perineurial barrier and concomitant adipose sympathetic neuropathy. This deleterious effect can be reversed by partial reduction of leptin or sympathomimetic β2 adrenergic receptor agonism. Clinically, we observed a male-specific synergistic effect of LEPR and ADRB2 polymorphisms on increased BMI risk in a large European population. We propose that SPCs coordinate the afferent and efferent arms of the neuroendocrine loop of leptin action to regulate energy expenditure and body weight.

This dataset

Open GSE233163 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 GSE233163_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA975156 and SRA study SRP438988. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

10 distinct titles, 2 of them repeated

ST_12k ×2 ST_14k ×2

How we read this: Read from 12 sample titles: 10 distinct titles with little repetition. 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

GSM7405520 scg_1_run61
GSM7405521 scg_2_run61
GSM7405522 st_1_run61
GSM7405523 st_2_run61
GSM7405524 SCG_12k_run66
GSM7405525 SCG_14k_run66
GSM7405526 ST_12k_run66
GSM7405527 ST_14k_run66
GSM7405528 SCG_12k_1_run68
GSM7405529 SCG_12k_2_run68
GSM7405530 ST_12k_run68
GSM7405531 ST_14k_run68

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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.