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Transcriptional Profile in Allergic Contact Dermatitis to Methylisothiazolinone

GSE305246 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/10/14 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 24 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
Homo sapiens (human)
Samples
24 samples
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
IL-9 and IL-24 biomarkers in the transcriptional signature of contact dermatitis to methylisothiazolinoneFrontiers in immunology · 2025
Summary (written by the submitters)
This study aimed to investigate the signaling pathways induced by MI in the skin test of individuals with MI-sensitized ACD, comparing them to healthy controls. Individuals initially testing positive only for MI were recruited at the Contact Dermatitis Clinic at Hospital das Clínicas of São Paulo, re-exposed to MI or saline, and biopsied 48 hours after exposure.
Read the full summary ↓
Negative controls for the patch test were also exposed to MI and saline for comparison. Histopathological and transcriptomic (RNAseq) analyses identified two groups among the ACD patients: Group A (GA), with more pronounced histopathological features such as spongiosis and microvesicles, and Group B (GB), which showed milder reactions and absence of spongiosis. In GA, a total of 1588 genes were upregulated and 2090 downregulated in response to MI, compared to GB. These differentially expressed genes (DEGs) were associated with inflammation and neurological signaling, such as IL-24, IL-9, IL-13, and NTRK1, while IL-37 and IL-18 were downregulated. Similarly, GA compared to the MI-negative ACD group showed 1169 upregulated and 321 downregulated genes. DEG validation in GA through qPCR confirmed increased expression of NTRK1, IL-9, IL-6, IL-13, and CXCL8, with a reduction in IL-18. Protein analysis of IL-24 and IL-9 revealed higher expression in the dermal layer of GA. These results indicate distinct transcriptional profiles in MI-sensitized individuals, despite positive patch tests in all cases. The observed heterogeneity, not previously described in ACD, points to new potential therapeutic targets, such as IL-9, IL-37, and NTRK1. Furthermore, the study suggests that inflammatory and neurological cytokines, such as IL-9 and NTRK1, play key roles in the pathogenesis of ACD.
Published in
IL-9 and IL-24 biomarkers in the transcriptional signature of contact dermatitis to methylisothiazolinone
de Melo TC, Sotto MN, Fernandes IG et al. · Frontiers in immunology 2025 · PMID 41394797 · doi:10.3389/fimmu.2025.1685396
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 GSE305246_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 PRJNA1304914 and SRA study SRP608390. Searching any of these in the dataset finder brings you back here.

Samples in this study

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