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Cene expression profile at single cell level of skin cells from Pdgfra lineage cells tracing mice

GSE273179 Mus musculus (mouse) Single-cell RNA-seq 15 samples Submitted 2026/05/21 Platform GPL30172
At a glance

Single-cell RNA-seq · mouse · 15 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
15 samples: 5 × Head_Epidermis_PdgfraLin+ vs 5 × Head_Epidermis_PdgfraLin vs 5 × Head_DermisGroups 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.
Summary (written by the submitters)
Pdgfra is one of a mesenchymal cell marker however, we found the Pdgfra lineage cells contributing to the epidermal development. To compare transcriptome signatures between Pdgfra lineage cells and non- Pdgfra lineage cells in the epidermal cells, we performed single cell RNA-sequencing.
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 GSE273179_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 PRJNA1140553 and SRA study SRP522409. Searching any of these in the dataset finder brings you back here.

Study design
5 × Head_Epidermis_PdgfraLin+ vs 5 × Head_Epidermis_PdgfraLin vs 5 × Head_Dermis

Supports a between-group comparison across 15 samples.

How we read this: 3 replicated groups read from 15 sample titles; they account for 15 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.

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.