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Tape strips capture immune and epidermal hyperplasia markers in the major orphan ichthyoses

GSE305032 Homo sapiens (human) RNA-seq (gene expression) 45 samples Submitted 2026/03/31 Platform GPL24014
At a glance

RNA-seq (gene expression) · human · 45 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
45 samples: 5 conditions, mostly with about 18 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
Tape strips capture immune and epidermal hyperplasia markers in the major orphan ichthyosesThe Journal of investigative dermatology · 2026
Summary (written by the submitters)
This pilot study examined gene expression in tape strip samples obtained from 9 patients with Netherton Syndrome (NS), 6 patients with congenital ichthyosiform erythroderma (CIE), 7 patients with lamellar ichthyosis (LI), and 5 patients with epidermolytic ichthyosis (EI), as well as from 18 demographically matched healthy controls. Differential expression was defined with |fold-change/FCH|>2 and false discovery rate/FDR<0.05.
Read the full summary ↓
All subtypes shared significant Th17/Th22 upregulation, and Th2 products were particularly increased in NS. Tape strips additionally captured common increases in Th1 and IL4R upregulation in NS, LI, and EI. Epidermal differentiation complex/cornified envelope (EDC-CE) genes were increased in all or most subtypes. Changes in immune and EDC-CE tape-strip markers correlated significantly and positively with those measured in biopsies.
Published in
Tape strips capture immune and epidermal hyperplasia markers in the major orphan ichthyoses
Kim M, Manson M, Liu Y et al. · The Journal of investigative dermatology 2026 · PMID 41966446 · doi:10.1016/j.jid.2026.03.033
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 GSE305032_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 PRJNA1304266 and SRA study SRP607970. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly with about 18 replicates each
Control ×18 NS ×9 LI ×7 CIE ×6 EI ×5

Supports a between-group comparison across 45 samples.

How we read this: 5 replicated groups read from 45 sample titles; they account for 45 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

+ 5 more — browse all 45 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.