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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

GSE278330 Homo sapiens (human) Single-cell RNA-seq 63 samples Submitted 2025/02/18 Platform GPL30173Platform GPL18573
At a glance

Single-cell RNA-seq · human · 63 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Samples
63 samples: 48 distinct titles, 15 of them repeatedGroups 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
Psoriasis harbors multiple pathogenic type 17 T-cell subsets: Selective modulation by risankizumabThe Journal of allergy and clinical immunology · 2025
Summary (written by the submitters)
Recent single-cell studies indicated that IL-17-producing T-cells (T17) have diverse subsets expressing IL-17A, IL-17F, or a combination of them in human psoriasis skin. However, it is unknown how T17 subsets are differently regulated by IL-23 versus IL-17A blockades. Here, we studied 93 human psoriasis or control skin single-cell libraries from 42 subjects to understand how IL-23 versus IL-17A systemic blockades differently modify single-cell transcriptome of T17 cell subsets, dendritic cells/myeloid cells, and keratinocytes.
Read the full summary ↓
Our study shows that IL-23 inhibition down-regulates IL-23 receptor-expressing pathogenic T17 subsets. In contrast, T17 cells expressing both IL-17A and IL-17F did not express the IL-23 receptor, and the percentage of this potentially non-pathogenic T17 subset increased after IL-23 inhibition. We also found out that the expression of the IL-17 negative regulation genes, such as TNFAIP3, increased in myeloid cells more after IL-23 inhibition than after IL-17A inhibition. These findings explain why the risk of candidiasis is not increased after IL-23 inhibition, unlike IL-17 inhibition, and the higher efficacy of IL-23 blockades for inducing psoriasis remission in the long term or suppressing relapses after stopping the injections compared to IL-17A blockades.
Published in
Psoriasis harbors multiple pathogenic type 17 T-cell subsets: Selective modulation by risankizumab
Kim J, Lee J, Lee J et al. · The Journal of allergy and clinical immunology 2025 · PMID 39978685 · doi:10.1016/j.jaci.2025.02.008
This dataset
Open GSE278330 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 GSE278330_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1166662 and SRA study SRP535474. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39978685) ↗
Study design
48 distinct titles, 15 of them repeated
Psoriasis07_preTx_LS ×2 Psoriasis07_preTx_NL ×2 Psoriasis07_postTx_risankizumab_week28_LS ×2 Psoriasis10_preTx_LS ×2 Psoriasis10_preTx_NL ×2 Psoriasis10_postTx_risankizumab_week28_LS ×2 Psoriasis13_preTx_LS ×2 Psoriasis13_preTx_NL ×2 +7 more

How we read this: Read from 63 sample titles: 48 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

+ 23 more — browse all 63 samples with per-sample file links →

Datasets on a similar topic

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