Hyperinnervation inhibits organ-level regeneration in mammalian skin
Single-cell RNA-seq · mouse · 16 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Mus musculus (mouse)
- Samples
- 16 samples: 8 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
- Hyperinnervation inhibits organ-level regeneration in mammalian skinCell · 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 GSE276119_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 PRJNA1154938 and SRA study SRP529826. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 8 replicated groups read from 16 sample titles; they account for 16 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.
- GSM8491548 P5 wound, day 3 after wounding, rep 1 P5 wound, day 3 after w…
- GSM8491549 P5 wound, day 3 after wounding, rep 2 P5 wound, day 3 after w…
- GSM8491550 P8 unwounded, rep 1 P8 unwounded,
- GSM8491551 P8 unwounded, rep 2 P8 unwounded,
- GSM8491552 E16.5 wound, day 3 after wounding, rep 1 E16.5 wound, day 3 afte…
- GSM8491553 E16.5 wound, day 3 after wounding, rep 2 E16.5 wound, day 3 afte…
- GSM8491554 P0 unwounded, rep 1 P0 unwounded,
- GSM8491555 P0 unwounded, rep 2 P0 unwounded,
- GSM8491556 E16.5 wound, day 3 after wounding, injected with AAV-tdTomato, AAV-positive cells, rep 1 E16.5 wound, day 3 afte…
- GSM8491557 E16.5 wound, day 3 after wounding, injected with AAV-tdTomato, AAV-negative cells, rep 1 E16.5 wound, day 3 afte…
- GSM8491558 E16.5 wound, day 3 after wounding, injected with AAV-tdTomato, AAV-positive cells, rep 2 E16.5 wound, day 3 afte…
- GSM8491559 E16.5 wound, day 3 after wounding, injected with AAV-tdTomato, AAV-negative cells, rep 2 E16.5 wound, day 3 afte…
- GSM9344684 Cxcl12 KO, P5 wound, day 3 after wounding, rep 1 Cxcl12 KO, P5 wound, da…
- GSM9344685 Cxcl12 KO, P5 wound, day 3 after wounding, rep 2 Cxcl12 KO, P5 wound, da…
- GSM9344686 Cxcl12 WT, P5 wound, day 3 after wounding, rep 1 Cxcl12 WT, P5 wound, da…
- GSM9344687 Cxcl12 WT, P5 wound, day 3 after wounding, rep 2 Cxcl12 WT, P5 wound, da…
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- GSE248194 Characterizing dynamics and lineage of bihormonal cell in mammalian pancreatic islets [Smart-seq3xpress] 1430 samples shares mammalian
- GSE267938 Functional optic tract rewiring via subtype- and target-specific axonal regeneration and presynaptic activity enhancement 256 samples shares regeneration
- GSE276155 RBBP5 is an epigenetic regulator of mammalian hepatic 12h oscillator [RNA-seq] 96 samples shares mammalian
- GSE334718 Robust mammalian RNA localization elements are large and multipartite 80 samples shares mammalian
- GSE247719 A Panoramic View of Cell Population Dynamics in Mammalian Aging 78 samples shares mammalian
- GSE264153 TATA-binding Associated Factors have distinct roles during early mammalian development 57 samples shares mammalian
- GSE276182 NF-κB activation in astrocytes critically affects wound regeneration after traumatic brain injury 51 samples shares regeneration
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.