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Nociceptive innervation limits tertiary lymphoid structures to promote lung cancer

GSE302373 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2026/05/19 Platform GPL24247Platform 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: 4 × Transcripts from Scn10a+ neurons from LUAD lung, vs 3 × Transcripts from Scn10a+ neurons from control lung,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)
Sensory innervation regulates lung physiology and pathology, but its role in lung cancer is poorly understood. We show that lung adenocarcinoma (LUAD) progression locally amplifies nociceptive sensory innervation and activation, which drives the release of a major sensory neuropeptide, calcitonin gene-related peptide (CGRP). CGRP acts on a subset of macrophages, thereby impairing the recruitment of CXCL13+ fibroblasts and blocking tertiary lymphoid structure (TLS) assembly, a key predictor of LUAD prognosis.
Read the full summary ↓
Local sensory denervation restores TLS formation, enhances B and T cell-dependent immunity, and suppresses tumor growth. Cigarette smoke extract (CSE) further activates this neural circuit to accelerate LUAD progression. In CSE-exposed animals, pharmacologic CGRP blockade sensitizes tumors to immunotherapy and prolongs survival. Together, our findings uncover a neuroimmune axis linking nociceptive neurons, TLS, and LUAD and identify neurogenic inflammation as a mechanism by which smoking promotes lung tumorigenesis independent of somatic mutagenesis.
This dataset
Open GSE302373 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 GSE302373_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 PRJNA1290269 and SRA study SRP600158. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
4 × Transcripts from Scn10a+ neurons from LUAD lung, vs 3 × Transcripts from Scn10a+ neurons from control lung,

Supports a between-group comparison across 7 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 7 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.