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Plastic associated endocrine disruptors reduce Nicastrin protein and potentiate inflammation in Hidradenitis Suppurativa skin disease

GSE307069 Homo sapiens (human) RNA-seq (gene expression) 26 samples Submitted 2025/09/02 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 26 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
26 samples: 6 conditions, mostly with about 6 replicates eachGroups 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
Plastic associated endocrine disruptors reduce Nicastrin protein and potentiate inflammation in hidradenitis suppurativa skin diseaseNature communications · 2025
Summary (written by the submitters)
Hidradenitis Suppurativa (HS) is an inflammatory skin disorder with limited treatments and unclear etiology. While monogenic HS is linked to gamma secretase (GS) mutations, particularly in the Nicastrin (NCSTN) subunit, the pathogenesis of the more common sporadic form remains uncertain, though associated with risk factors such as diets high in ultra-processed foods (UPFs).
Read the full summary ↓
Consistent with the clinical overlap between sporadic and monogenic HS, we find loss of NCSTN protein in sporadic HS fibroblasts. We hypothesize the rising incidence of sporadic HS and its hormonal associations implicate endocrine-disrupting chemicals (EDCs), especially plastic-associated EDCs (p-EDs) common in UPFs. We detect elevated p-ED adducts in HS skin, persisting in ex vivo cultured fibroblasts. At nanomolar concentrations, p-EDs inhibits NCSTN and primes fibroblasts for inflammation, mimicking NCSTN knockdown. These findings suggest p-ED exposure contributes to HS pathogenesis, highlighting the need to address environmental exposures in HS and other GS-related diseases.
Published in
Plastic associated endocrine disruptors reduce Nicastrin protein and potentiate inflammation in hidradenitis suppurativa skin disease
Williams KL, Badiei B, Reilly J et al. · Nature communications 2025 · PMID 41315355 · doi:10.1038/s41467-025-65789-7
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 GSE307069_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 PRJNA1314218 and SRA study SRP616625. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly with about 6 replicates each
keratinocyte, cells, scRNA, ×6 keratinocyte, cells, siNCSTN, ×6 NAX, cells, GSI, ×4 NAX, cells, pEDs, ×4 fibroblast, cells, scRNA, ×3 fibroblast, cells, siNCSTN, ×3

Supports a between-group comparison across 26 samples.

How we read this: 6 replicated groups read from 26 sample titles; they account for 26 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
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