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Type 2 cytokines pleiotropically modulate sensory nerve architecture and neuroimmune interactions to mediate itch [Mouse ear pinnae]

GSE296778 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2025/05/15 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 5 × PBS vs 5 × IL4 vs 5 × IL13 vs 5 × IL31Groups 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
Type 2 cytokines pleiotropically modulate sensory nerve architecture and neuroimmune interactions to mediate itchThe Journal of allergy and clinical immunology · 2025
Summary (written by the submitters)
Background: Anti-type 2 cytokine therapies represent promising interventions for chronic itch; however, their precise mechanisms in restoring nerve architecture and mitigating inflammation and pruritus remain incompletely understood. This study aimed to elucidate the mechanistic roles of IL-4, IL-13, and IL-31 in the pathophysiology of itch associated with type 2 inflammatory skin diseases.
Read the full summary ↓
Methods: The effect of IL-4, IL-13, and/or IL-31 on neurite outgrowth and/or transcriptomic changes were analyzed in human and mouse dorsal root ganglion (DRG) neuronal cultures. Mouse ear pinnae were processed for histologic, transcriptomic, and proteomic analyses 4 days after intradermal injection of IL-4, IL-13, and/or IL-31. To evaluate functional correlations with neuronal responses, mice were subcutaneously challenged with IL-4, IL-13, and/or IL-31, and scratching behavior was monitored. Association between IL-4/IL-13–IL-4Rα axis and severity of atopic dermatitis (AD) was evaluated through correlative analyses of human DRG transcriptomic changes and AD transcriptomic datasets (GSE130588 and BioMap consortium). Results: IL-4 and IL-13 promote mouse and human DRG sensory neuron growth, with effects similar to or greater than IL-31. In mice, intradermal IL-4, IL-13, and IL-31 increased epidermal nerve growth; however, only IL-4 and IL-13 induced hyperplasia and immune cell recruitment. Multi-omic analyses revealed that IL-4 and IL-13 have a broader impact on neuroimmune interactions than IL-31. In a murine DRG neuron-eosinophil co-culture, IL-4Rα blockade reduced neurite growth. IL-13 and IL-31 elicited acute scratching, demonstrating their roles as direct pruritogens; IL-4 synergistically enhanced IL-13-induced itch, resulting in greater pruritic responses than IL-31. Additionally, a set of itch-associated genes upregulated by IL-4 and IL-13 and downregulated by dupilumab-mediated IL-4Rα blockade in human DRG neuronal cultures showed positive correlation with AD severity. Conclusions: These findings establish the IL-4/IL-13–IL-4Rα axis as a key regulator of inflammatory skin nerve innervation, neuroimmune interactions, barrier integrity, and itch response, highlighting its mechanistic role in modulating sensory neuronal function and shaping the inflammatory microenvironment that drives itch pathophysiology.
Published in
Type 2 cytokines pleiotropically modulate sensory nerve architecture and neuroimmune interactions to mediate itch
Jha MK, Han Y, Liu Z et al. · The Journal of allergy and clinical immunology 2025 · PMID 40436117 · doi:10.1016/j.jaci.2025.05.011
This dataset
Open GSE296778 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 GSE296778_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 PRJNA1261039 and SRA study SRP584209. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40436117) ↗
Study design
5 × PBS vs 5 × IL4 vs 5 × IL13 vs 5 × IL31

Supports a between-group comparison across 20 samples.

How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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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