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Comparative Molecular Analysis of IL-17A and IL-23 Pathway Inhibition in Moderate-to-Severe Psoriasis: 4-Week Results from IXORA-R

GSE212836 Homo sapiens (human) RNA-seq (gene expression) 199 samples Submitted 2025/08/01 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 199 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
199 samples: 199 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
Comparative Molecular Analysis of IL-17A and IL-23 Pathway Inhibition in Moderate-to-Severe Psoriasis: 4-Week Results from IXORA-RThe Journal of investigative dermatology · 2026
Summary (written by the submitters)
The purpose of this head-to-head study was to gain molecular insights into the MOA for IXE and GUS in PsO and to compare and contrast the gene expression profiles at early time-points for IXE targeting IL-17A and GUS targeting IL-23.
Published in
Comparative Molecular Analysis of IL-17A and IL-23 Pathway Inhibition in Moderate-to-Severe Psoriasis: 4-Week Results from IXORA-R
Garcet S, Tsoi LC, Hur H et al. · The Journal of investigative dermatology 2026 · PMID 40818712 · doi:10.1016/j.jid.2025.06.1598
This dataset
Open GSE212836 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 GSE212836_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 PRJNA877620 and SRA study SRP396118. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40818712) ↗
Study design
199 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 199 sample titles: 199 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

+ 159 more — browse all 199 samples with per-sample file links →

Datasets on a similar topic

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.