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TH-positive pulmonary nerve fiber-epithelial interaction promotes adipose thermogenesis in male mice [C22_RNA-seq]

GSE342447 Mus musculus (mouse) RNA-seq (gene expression) 4 samples Submitted 2026/08/08 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 4 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
4 samples: 2 × C22 cells, vehicle control, 3h, vs 2 × C22 cells, NE treatment (10 μM), 3h,Groups 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)
Cold exposure activates sympathetic neurons in adipose tissue to maintain thermal homeostasis. However, whether sympathetic activation in non-adipose tissues contributes to cross-organ regulation of adipose thermogenesis remains unclear. Here, we demonstrate the activation of TH-positive pulmonary nerve fibers (TPNFs) by cold exposure, which further promotes adipose thermogenesis.
Read the full summary ↓
Specifically, cold exposure activates TPNFs that innervate bronchial Club cells in the lung and leads to a reduction in Secretoglobin family 3A member 1 (SCGB3A1) expression via Adrenergic Receptor β2 (ADRB2). SCGB3A1, a Club cell-specific secretory factor, binds the choline transporter SLC44A2 on adipocytes to restrict choline uptake and impair thermogenic activation. Meanwhile, TPNFs activation induces NGF secretion from Club cells, which in turn strengthens TPNFs innervation of Club cells in a feedforward loop. Importantly, the stimulation of this mechanism via tracheal infusion of the ADRB2 agonist norepinephrine (NE) enhances thermogenesis in mice.
This dataset
Open GSE342447 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 GSE342447_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 PRJNA1507884 and SRA study SRP724342. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
2 × C22 cells, vehicle control, 3h, vs 2 × C22 cells, NE treatment (10 μM), 3h,

Supports a between-group comparison across 4 samples.

How we read this: 2 replicated groups read from 4 sample titles; they account for 4 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.