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Sensory nerve input is not required for digit tip regeneration

GSE325460 Mus musculus (mouse) RNA-seq (gene expression) 29 samples Submitted 2026/04/01 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 29 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
29 samples: 10 conditions, mostly in triplicateGroups 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)
Peripheral nerves are a major component of the post-injury microenvironment and are required for successful appendage regeneration in non-mammalians. However, the role of innervation in mouse digit tip regeneration is unclear. We developed a denervation technique that maintains mechanical loading while significantly reducing innervation to the digit.
Read the full summary ↓
Using this model, we found that denervation does not impair digit tip regeneration. Histological analysis showed the amputation stump proceeds through the expected phases of wound healing, blastema formation, and tissue outgrowth, and that regenerate bone volume is not significantly impaired in denervated digits. Interestingly, despite minimal change in regenerative outcome, bulk RNA sequencing identified significant changes in gene expression over time during regeneration in the absence of innervation. This study is the first to use RNA sequencing to characterize changes in gene expression during digit tip regeneration in the absence of innervation. Overall we show that digit tip regeneration is not dependent on innervation and our results suggest that regeneration may be achieved through activation of redundant signalling pathways.
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 GSE325460_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1439966 and SRA study SRP685263. Searching any of these in the dataset finder brings you back here.

Study design
10 conditions, mostly in triplicate
SHAM, 7DPA, ×3 SHAM, 14DPA, ×3 SNI, 7DPA, ×3 SNI, 14DPA, ×3 SNI, 21DPA, ×3 SNI amputation, 7DPA, ×3 SNI no amputation, 7DPA, ×3 SNI amputation, 14DPA, ×3 +2 more

Supports a between-group comparison across 29 samples.

How we read this: 10 replicated groups read from 29 sample titles; they account for 29 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
Datasets on a similar topic

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