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Bulk RNA sequencing of skin biopsies from psoriasis patients treated with roflumilast or placebo

GSE283313 Homo sapiens (human) RNA-seq (gene expression) 87 samples Submitted 2025/05/09 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 87 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
87 samples: 87 samples, each with a distinct title — no replicated groupsGroups 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
Oral Roflumilast Suppresses Proinflammatory Cytokine Signaling and Reduces CD4+ T-Cell and Neutrophil Infiltration in PsoriasisThe Journal of investigative dermatology · 2025
Summary (written by the submitters)
This sub-study investigated the cellular and molecular effects of oral roflumilast treatment on psoriatic skin. Patients with moderate-to-severe psoriasis were allocated 1:1 to monotherapy with oral roflumilast 500 μg QD or placebo in a company-independent, randomized clinical trial (the PSORRO study, ClinicalTrials.gov NCT04549870).
Published in
Oral Roflumilast Suppresses Proinflammatory Cytokine Signaling and Reduces CD4+ T-Cell and Neutrophil Infiltration in Psoriasis
Baez E, Gyldenløve M, Ben Abdallah H et al. · The Journal of investigative dermatology 2025 · PMID 40403838 · doi:10.1016/j.jid.2025.04.034
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 GSE283313_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 PRJNA1193084 and SRA study SRP548780. Searching any of these in the dataset finder brings you back here.

Study design
87 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 87 sample titles: 87 distinct titles with little repetition. 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

+ 47 more — browse all 87 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.