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Single-cell transcriptomic analysis of the human temporomandibular joint condyle

GSE290860 Danio rerio (zebrafish) Single-cell RNA-seq 11 samples Submitted 2026/09/17 Platform GPL24676Platform GPL24995
At a glance

Single-cell RNA-seq · zebrafish · 11 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Danio rerio (zebrafish)
Samples
11 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)
The temporomandibular joint condyle (TMJC) is essential for the development of both the temporomandibular joint and the mandible. However, the insufficient understanding of its developmental processes has impeded progress in developing targeted therapies for temporomandibular joint and mandibular developmental disorders. In this study, we present a comprehensive single-cell transcriptomic atlas of human developmental TMJC, covering 5 embryonic stages from 12 to 25 gestational weeks.
Read the full summary ↓
Using single-cell RNA sequencing, we identified 20 primary cell types. Trajectory analysis using Monocle3 identified two significant developmental trajectories: mesenchymal stem cells differentiating into chondrocytes and osteoblasts, and hematopoietic stem cells differentiating into immune cells.
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 GSE290860_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: 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 PRJNA1230273 and SRA study SRP567185. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 11 more — browse all 11 samples with per-sample file links →

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