Cene expression profile at single cell level of skin cells from Pdgfra lineage cells tracing mice
Single-cell RNA-seq · mouse · 42 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
- 42 samples: 12 conditions, mostly with about 4 replicates eachGroups 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.
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 GSE273333_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 PRJNA1141443 and SRA study SRP522853. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 42 samples.
How we read this: 12 replicated groups read from 42 sample titles; they account for 42 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.
- GSM8426645 Head_Epidermis_PdgfraLin+_01 Head_Epidermis_PdgfraLi…
- GSM8426646 Head_Epidermis_PdgfraLin+_02 Head_Epidermis_PdgfraLi…
- GSM8426647 Head_Epidermis_PdgfraLin-_01 Head_Epidermis_PdgfraLin
- GSM8426648 Head_Epidermis_PdgfraLin-_02 Head_Epidermis_PdgfraLin
- GSM8426649 Head_Dermis_01 Head_Dermis
- GSM8426650 Head_Dermis_02 Head_Dermis
- GSM8426651 Head_Sytox-All_01 Head_Sytox-All
- GSM8426652 Back_Epidermis_PdgfraLin+_01 Back_Epidermis_PdgfraLi…
- GSM8426653 Back_Epidermis_PdgfraLin+_02 Back_Epidermis_PdgfraLi…
- GSM8426654 Back_Epidermis_PdgfraLin-_01 Back_Epidermis_PdgfraLin
- GSM8426655 Back_Epidermis_PdgfraLin-_02 Back_Epidermis_PdgfraLin
- GSM8426656 Back_Dermis_01 Back_Dermis
- GSM8426657 Back_Dermis_02 Back_Dermis
- GSM8426658 Back_Sytox-All_01 Back_Sytox-All
- GSM8426659 Abdomen_Epidermis_PdgfraLin+_01 Abdomen_Epidermis_Pdgfr…
- GSM8426660 Abdomen_Epidermis_PdgfraLin+_02 Abdomen_Epidermis_Pdgfr…
- GSM8426661 Abdomen_Epidermis_PdgfraLin-_01 Abdomen_Epidermis_Pdgfr…
- GSM8426662 Abdomen_Epidermis_PdgfraLin-_02 Abdomen_Epidermis_Pdgfr…
- GSM8426663 Abdomen_Dermis_01 Abdomen_Dermis
- GSM8426664 Abdomen_Dermis_02 Abdomen_Dermis
- GSM8426665 Abdomen_Sytox-All_01 Abdomen_Sytox-All
- GSM8426666 Head_Epidermis_PdgfraLin+_03 Head_Epidermis_PdgfraLi…
- GSM8426667 Head_Epidermis_PdgfraLin+_04 Head_Epidermis_PdgfraLi…
- GSM8426668 Head_Epidermis_PdgfraLin-_03 Head_Epidermis_PdgfraLin
- GSM8426669 Head_Epidermis_PdgfraLin-_04 Head_Epidermis_PdgfraLin
- GSM8426670 Head_Dermis_03 Head_Dermis
- GSM8426671 Head_Dermis_04 Head_Dermis
- GSM8426672 Head_Sytox-All_02 Head_Sytox-All
- GSM8426673 Back_Epidermis_PdgfraLin+_03 Back_Epidermis_PdgfraLi…
- GSM8426674 Back_Epidermis_PdgfraLin+_04 Back_Epidermis_PdgfraLi…
- GSM8426675 Back_Epidermis_PdgfraLin-_03 Back_Epidermis_PdgfraLin
- GSM8426676 Back_Epidermis_PdgfraLin-_04 Back_Epidermis_PdgfraLin
- GSM8426677 Back_Dermis_03 Back_Dermis
- GSM8426678 Back_Dermis_04 Back_Dermis
- GSM8426679 Back_Sytox-All_02 Back_Sytox-All
- GSM8426680 Abdomen_Epidermis_PdgfraLin+_03 Abdomen_Epidermis_Pdgfr…
- GSM8426681 Abdomen_Epidermis_PdgfraLin+_04 Abdomen_Epidermis_Pdgfr…
- GSM8426682 Abdomen_Epidermis_PdgfraLin-_03 Abdomen_Epidermis_Pdgfr…
- GSM8426683 Abdomen_Epidermis_PdgfraLin-_04 Abdomen_Epidermis_Pdgfr…
- GSM8426684 Abdomen_Dermis_03 Abdomen_Dermis
+ 2 more — browse all 42 samples with per-sample file links →
- GSE241627 Single-cell lineage tracing uncovers unique skin adipose hierarchy and Sox9-mediated differentiation of adipocyte precursors 12 samples shares lineage, tracing, skin
- GSE213104 Gene expression profile at single cell level of Merkel cells from embryonic, neonatal and postnatal mouse skin 1057 samples shares level, skin
- GSE277789 Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution [Smart-seq3-RNA-seq-add] 830 samples shares lineage, tracing
- GSE266496 Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution [Smart-seq3-RNA-seq] 140 samples shares lineage, tracing
- GSE276119 Hyperinnervation inhibits organ-level regeneration in mammalian skin 16 samples shares level, skin
- GSE266497 Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution [10x-v3-RNA-seq] 13 samples shares lineage, tracing
- GSE327939 High-Resolution Lineage Tracing in Native Tissue Contexts 79 samples shares lineage, tracing
- GSE327687 High-Resolution Lineage Tracing in Native Tissue Contexts [SPACE-seq] 39 samples shares lineage, tracing
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.