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TCN2 promotes psoriatic skin inflammation and keratinocyte proliferation via the IL-1β-STAT3 pathway

GSE295541 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/05/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples
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, a chronic immune-mediated inflammatory skin disorder, exerts systemic impacts across multiple organs. Although transcobalamin 2 (TCN2) has been reported to be associated with several autoimmune diseases, its role in psoriasis remains elusive. Hence, we investigated the role of TCN2 in psoriasis pathogenesis. Our results indicated that TCN2 was highly expressed in the skin tissues and peripheral blood mononuclear cells (PBMCs) of psoriatic patients, with downregulation following biologic therapy.
Read the full summary ↓
Moreover, imiquimod (IMQ) - induced psoriasis in mice exhibited heightened TCN2 expression. To further explore the role of TCN2 in psoriasis, we generated Tcn2-deficient (Tcn2-/-) mice and established a psoriasis model using IMQ. IMQ-treated Tcn2-/- mice displayed milder psoriatic lesions and a lower level of inflammation. RNA-seq analysis of lesional skin revealed significant downregulation of inflammatory mediators (S100A7, S100A8, S100A9, IL-1β, IL-6) and suppression of STAT3 signaling in Tcn2-/- mice compared to WT-IMQ mice. Parallel in vitro experiments using TCN2-knockout HaCaT cells demonstrated cell cycle arrest. Collectively, our findings highlight TCN2 as a critical regulator of psoriatic inflammation, proposing it as a novel therapeutic target.
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 GSE295541_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 PRJNA1254432 and SRA study SRP580669. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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