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Mapping cell diversity and position in temporomandibular joint osteoarthritis with pain at single cell resolution

GSE267942 Mus musculus (mouse) Single-cell RNA-seq 2 samples Submitted 2025/04/02 Platform GPL34290
At a glance

Single-cell RNA-seq · mouse · 2 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
2 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.
Paper
Mapping cell diversity and dynamics in inflammatory temporomandibular joint osteoarthritis with pain at single-cell resolutionJCI insight · 2025
Summary (written by the submitters)
Temporomandibular joint (TMJ) osteoarthritis (OA) is a highly prevalent disorder affecting patient’s quality of life due to joint pain and dysfunction. A comprehensive understanding of cell type diversity and their dynamics of TMJ along joint degeneration and pain is lacking. Here we established an inflammatory TMJOA mouse model via intra-articular injection of CFA (Complete Freund’s Adjuvant).
Read the full summary ↓
TMJOA mice exhibited OA and orofacial pain, recapitulating hallmark symptoms in patients. We performed single-cell transcriptomic profiling of TMJ followed by the validation. We revealed cellular diversity, anatomic position, and cell dynamics of TMJ at single cell resolution along the joint degeneration and pain.
Published in
Mapping cell diversity and dynamics in inflammatory temporomandibular joint osteoarthritis with pain at single-cell resolution
Jariyasakulroj S, Shu Y, Lin Z et al. · JCI insight 2025 · PMID 39927459 · doi:10.1172/jci.insight.184379
This dataset
Open GSE267942 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 GSE267942_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1113678 and SRA study SRP508820. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39927459) ↗
Samples in this study

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