← BioTransfer GEO Dataset Finder
GEO series

Effect of keratinocyte-intrinsic VISTA deletion on UV-induced type I interferon and inflammatory gene expression in mouse epidermis [bulk RNA-seq]

GSE335221 Mus musculus (mouse) RNA-seq (gene expression) 28 samples Submitted 2026/06/16 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 28 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
28 samples: 8 conditions, mostly with about 4 replicates eachGroups 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)
(abstract)Type I interferon (IFN-I) signaling is a central driver of cutaneous lupus erythematosus (CLE), but the keratinocyte-intrinsic checkpoints that restrain UV-triggered IFN-I responses remain poorly defined. Here we report that the immune checkpoint VISTA (encoded by Vsir) is expressed in epidermal keratinocytes and acts cell-intrinsically to suppress cGAS–STING–dependent IFN-I induction following ultraviolet (UV) exposure.
Read the full summary ↓
Conditional deletion of Vsir in keratinocytes (K14Cre-Vsir^fl/fl^) results in markedly elevated expression of interferon-stimulated genes (ISGs), chemokines, and antigen presentation machinery at baseline and is further amplified by acute UVB irradiation. Co-deletion of STING (Sting1) abrogates this hyperinflammatory transcriptional program, placing VISTA upstream of the cGAS–STING–IFN-I axis. Mechanistically, our data support a model in which VISTA restrains EGFR/LRIG1/NUMB-dependent stabilization of phosphorylated (pY245) STING, thereby tuning the magnitude of UV-induced IFN-I output. These findings identify a keratinocyte-intrinsic role for VISTA in suppressing sterile cutaneous inflammation and have translational relevance for photosensitive autoimmune skin disease and for cutaneous immune-related adverse events of VISTA-targeted therapies.
This dataset
Open GSE335221 in finder → Find more mouse 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 GSE335221_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 PRJNA1477590 and SRA study SRP708946. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly with about 4 replicates each
Skin_Vsirfl/fl_NoUV ×4 Skin_K14creVsirfl/fl_NoUV ×4 Skin_Vsirfl/fl_UV3hrs ×4 Skin_K14creVsirfl/fl_UV3hrs ×4 Skin_WT_NoUV ×3 Skin_WT_UV3hrs ×3 Skin_VISTAKO_NoUV ×3 Skin_VISTAKO_UV3hrs ×3

Supports a between-group comparison across 28 samples.

How we read this: 8 replicated groups read from 28 sample titles; they account for 28 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
Datasets on a similar topic

Search all mouse 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.