GEO series

Autoimmune CD4+T cells Cause Meibomian Gland Dysfunction

GSE314353 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2026/10/05 Platform GPL24247

At a glance

RNA-seq (gene expression) · mouse · 24 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: 24 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)

Sjögren disease (SjD) is the prototype autoimmune dry eye disease driven by an autoreactive CD4+T cell-mediated immune response that attacks lacrimal and salivary glands. Meibomian glands are lipid-producing glands on the eyelids that help prevent tear evaporation. While the role of T cells in lacrimal gland-mediated destruction is well established, it is unknown whether pathogenic T cells can cause MGD.

Read the full summary ↓

Herein, we investigated whether autoreactive CD4+T cells induce MGD and characterized the pathophysiologic mechanisms using an adoptive transfer (AT) model. T cells were isolated from CD25KO (CD4KO) or wild-type mice (CD4WT) and transferred into RAG1KO mice and compared with CD4KO co-adoptively transferred with WT Tregs (CD4KO+TregsWT). Our results showed that CD4KO recipients showed MG dropout, CD4+IFN-γ+ infiltration, increased MHC II presentation in the periglandular area, MG fibrosis, and decreased lipid production. These changes were accompanied by significant transcriptomic changes in the tarsal plates, with Type II Interferon as the top pathway. CD4KO+TregsWT recipients had minimal inflammation. These results indicate that autoimmune CD4+T cells are sufficient to cause MGD, and, healthy young Tregs can prevent this T-cell-mediated damage. Taken together, our findings provide mechanistic insights into the pathogenesis autoimmune SjD, and could impact how patients are managed in the clinic.

This dataset

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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 GSE314353_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 PRJNA1390753. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

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+ 24 more — browse all 24 samples with per-sample file links →

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