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Acutely denervated muscle EVs reshape neuronal mitochondrial metabolism via retrograde signaling to rescue peripheral nerve injury

GSE312514 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/12/09 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 6 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.
Summary (written by the submitters)
Peripheral nerve injury causes muscle atrophy due to slow axonal regeneration, highlighting an unmet therapeutic need. Although neuromuscular interactions are classically viewed as unidirectionally nerve-dominated, we show that acutely denervated muscle (adMu) regulates nerve regeneration via a retrograde signaling pathway. adMu initiates a trans-tissue regulatory mechanism through extracellular vesicles (EVsadMu) that orchestrate neural energy homeostasis to accelerate regeneration.
Read the full summary ↓
Functional profiling identifies IDH2 and CS as key metabolic enzymes within EVsadMu. Neurons treated with EVsadMu exhibit a 1.39-fold increase in NADPH/NADP+ ratio via IDH2, along with a 1.18- and 1.27-fold increase in NADH/NAD+ and FADH2/FAD ratios via CS, fueling the TCA cycle to enhance mitochondrial bioenergetics. This restores redox balance and energy supply, driving axonal regeneration. In sciatic nerve injury models, EVadMu-microneedle conduits significantly promote energy metabolism and functional recovery. Together, our findings position adMu as a metabolic signaling center enabling retrograde regulation for nerve regeneration, offering potential for clinical translation.
This dataset
Open GSE312514 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE312514_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1374092 and SRA study SRP651384. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly with about 4 replicates each
CON ×4 1DPD ×4 3DPD ×4 5DPD ×4 7DPD ×4 14DPD ×4

Supports a between-group comparison across 24 samples.

How we read this: 6 replicated groups read from 24 sample titles; they account for 24 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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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.