GEO series

Skin expression data from psoriasis patients treated with IL-17A inhibitor

GSE212476 Homo sapiens (human) RNA-seq (gene expression) 40 samples Submitted 2025/08/27 Platform GPL24676

At a glance

RNA-seq (gene expression) · human · 40 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: 40 samples: 40 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.

Summary (written by the submitters)

Psoriasis is a chronic, recurrent, inflammatory systemic disease that affects approximately 2-3% of the population worldwide. IL-17A plays a key pathogenic role in psoriasis, and IL-17A antigen have emerged as first-line agents for the treatment of moderate-to-severe plaque psoriasis.However, the associated mechanism underlying treatment-associated adverse and psoriasis relapse has not been reported

This dataset

Open GSE212476 in finder → Find more human 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 GSE212476_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 PRJNA873144 and SRA study SRP394364. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

40 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 40 sample titles: 40 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

GSM6533514 patient1 baseline
GSM6533515 patient1 remission
GSM6533516 patient1 relapse
GSM6533517 patient2 baseline
GSM6533518 patient2 remission
GSM6533519 patient2 relapse
GSM6533520 patient3 baseline
GSM6533521 patient3 remission
GSM6533522 patient3 relapse
GSM6533523 patient4 baseline
GSM6533524 patient4 remission
GSM6533525 patient4 relapse
GSM6533526 patient5 baseline
GSM6533527 patient5 remission
GSM6533528 patient5 relapse
GSM6533529 patient6 baseline
GSM6533530 patient6 remission
GSM6533531 patient6 relapse
GSM6533532 patient7 baseline
GSM6533533 patient7 remission
GSM6533534 patient7 relapse
GSM6533535 patient8 baseline
GSM6533536 patient8 remission
GSM6533537 patient8 relapse
GSM6533538 patient9 baseline
GSM6533539 patient9 remission
GSM6533540 patient10 baseline
GSM6533541 patient10 remission
GSM6533542 patient10 relapse
GSM6533543 patient11 baseline
GSM6533544 patient11 remission
GSM6533545 patient11 relapse
GSM6533546 patient12 baseline
GSM6533547 patient12 remission
GSM6533548 patient13 baseline
GSM6533549 patient13 remission
GSM6533550 patient13 relapse
GSM6533551 patient14 baseline
GSM6533552 patient14 remission
GSM6533553 patient14 relapse

Datasets on a similar topic

GSE285522 Bulk RNA sequencing of skin biopsies from psoriasis patients treated with Dead Sea climatotherapy 30 samples shares psoriasis, treated, skin
GSE278330 Systemic IL-23 blockade downregulates IL-23 receptor-expressing Type 17 T-cell subsets and upregulates regulatory gene expression in myeloid cells in human psoriasis skin 63 samples shares psoriasis, skin
GSE296117 A single-cell RNA-seq dataset of synovial fluid from rheumatoid arthritis treated with TNF-α/JAK inhibitor 18 samples shares inhibitor, treated
GSE295540 RNA-seq result of human skin derived from patients with psoriasis and healthy controls. 13 samples shares psoriasis, skin
GSE178178 Transcriptomic analysis of Hsp90 inhibitor (Hsp90i)-treated HIV-infected pediatric tonsillar mononuclear cells 16 samples shares inhibitor, treated
GSE313597 High throughput sequencing of B and T cells in checkpoint inhibitor treated patients 27 samples shares inhibitor, treated
GSE312129 Single-nuclei multiome and spatial analyses of early, untreated SSc skin identify a proinflammatory vascular niche of macrophage-fibroblast signaling 38 samples shares treated, skin
GSE338025 Multiome analysis of PDxOs (HCI-003, HCI-005, HCI-011) treated with a CDK4/6 inhibitor for 3 weeks 36 samples shares inhibitor, treated

Search all human RNA-seq datasets in GEO →

Share this dataset

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.