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Epidermal IFN-κ drives cutaneous lupus and systemic immune activation

GSE290137 Mus musculus (mouse) RNA-seq (gene expression) 21 samples Submitted 2025/08/11 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 21 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
Mus musculus (mouse)
Samples
21 samples: 7 conditions, mostly in triplicateGroups 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
Epidermal Interferon-κ Drives Cutaneous Lupus-Like Lesions, Photosensitivity, and Systemic Autoimmunity In VivoArthritis & rheumatology (Hoboken, N.J.) · 2026
Summary (written by the submitters)
Keratinocyte-derived interferon kappa (IFN-κ) is chronically overexpressed in human non-lesional systemic lupus erythematosus (SLE) skin. Recent evidence suggests that epidermal signals instruct the immune system in SLE, but whether epidermal IFN-κ alone is sufficient to drive lupus phenotypes has not been investigated. Here, we show that mice that overexpress Ifnk in the epidermis under the keratin 14 promoter (Ifnk transgenic, TG) on a BALB/c background spontaneously develop cutaneous lupus erythematosus (CLE)-like lesions and systemic immune dysregulation.
Read the full summary ↓
Lesions show facial predominance, lymphocytic infiltration, and a transcriptional signature reflective of human CLE. Ifnk TG mice exhibit increased immune cell activation and spontaneous signs of systemic autoimmunity with higher anti-dsDNA-antibodies, lymphadenopathy and splenomegaly, but lack signs of renal inflammation. UV exposure enhanced cutaneous inflammation and splenic T cell activation in Ifnk TG mice. Together, we describe a new CLE mouse model that recapitulates features of human CLE and substantiates the role of epidermal IFN-κ as a driver of CLE, photosensitivity and systemic inflammation.
Published in
Epidermal Interferon-κ Drives Cutaneous Lupus-Like Lesions, Photosensitivity, and Systemic Autoimmunity In Vivo
Klein B, Colesa DJ, Gao Y et al. · Arthritis & rheumatology (Hoboken, N.J.) 2026 · PMID 40776772 · doi:10.1002/art.43350
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 GSE290137_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 PRJNA1226246 and SRA study SRP565349. Searching any of these in the dataset finder brings you back here.

Study design
7 conditions, mostly in triplicate
Skin, Ifnk TG, Lesional, NoTx, Sample ×4 Inguinal lymph node, WT, NoTx, Sample ×3 Inguinal lymph node, Ifnk TG, NoTx, Sample ×3 Inguinal lymph node, WT, UVTx, Sample ×3 Inguinal lymph node, Ifnk TG, UVTx, Sample ×3 Skin, WT, Non-lesional, NoTx, Sample ×3 Skin, Ifnk TG, Non-lesional, NoTx, Sample ×2

Supports a case/control comparison: 6 samples read as cases, 6 as controls.

How we read this: 7 replicated groups read from 21 sample titles; they account for 21 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
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