Spatiotemporal single-cell atlas of suture stem cell dynamics in craniosynostosis [scRNA-Seq]
Single-cell RNA-seq · mouse · 14 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
- 14 samples: 6 conditions, mostly in duplicateGroups 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
- Spatiotemporal single-cell atlas of suture stem cell dynamics in craniosynostosisStem cell research & therapy · 2026
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE303460_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1295019 and SRA study SRP602834. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 14 samples.
How we read this: 6 replicated groups read from 14 sample titles; they account for 14 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.
- GSM9127175 E14.5-CS1 E14.5-CS
- GSM9127176 E14.5-CS2 E14.5-CS
- GSM9127177 E14.5-WT1 E14.5-WT
- GSM9127178 E14.5-WT2 E14.5-WT
- GSM9127179 E18.5-CS1 E18.5-CS
- GSM9127180 E18.5-CS2 E18.5-CS
- GSM9127181 E18.5-WT1 E18.5-WT
- GSM9127182 E18.5-WT2 E18.5-WT
- GSM9127183 P3-CS1 P3-CS
- GSM9127184 P3-CS2 P3-CS
- GSM9127185 P3-CS3 P3-CS
- GSM9127186 P3-WT1 P3-WT
- GSM9127187 P3-WT2 P3-WT
- GSM9127188 P3-WT3 P3-WT
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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.