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RNA-Seq reveals heterogeneity in the submandibular glands and submandibular gland draining lymph nodes of SS mice

GSE253818 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/12/15 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: 12 samples, each with a distinct title — no replicated groupsGroups 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
Identification of Pathogenic PD-1(+)CD8(+) T Cells for Effective Chimeric Antigen Receptor Therapy in a Murine Model of Sjögren DiseaseArthritis & rheumatology (Hoboken, N.J.) · 2025
Summary (written by the submitters)
In this study, we analyzed the submandibular glands of P40-/-CD25+/- (control mice) and P40-/-CD25-/- (SS mice) after PD-1-targeted CAR-T cells or control T cells treatment using RNA-Seq. We found that the transcription of inflammatory genes was down-regulated and the transcription of tissue repair genes was up-regulated in the submandibular glands of SS mice after PD-1-targeted CAR-T cells treatment. In addition, PD-1+Tigit+CD8+ T cells in the submandibular gland draining lymph nodes of SS mice showed transcription characteristics of tissue resident memory precursors.
Published in
Identification of Pathogenic PD-1(+)CD8(+) T Cells for Effective Chimeric Antigen Receptor Therapy in a Murine Model of Sjögren Disease
Ma JF, Xu T, Zhu HX et al. · Arthritis & rheumatology (Hoboken, N.J.) 2025 · PMID 40026078 · doi:10.1002/art.43144
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 GSE253818_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 PRJNA1067327 and SRA study SRP485034. Searching any of these in the dataset finder brings you back here.

Study design
12 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 2 samples read as cases, 2 as controls.

How we read this: Read from 12 sample titles: 12 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
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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.