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Vasculogenic tissue nanotransfection accelerates functional recovery after peripheral nerve injury

GSE319328 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2026/03/04 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × Sciatic nerve, Sham vs 4 × Sciatic nerve, EFF111 vs 4 × Sciatic nerve, EFF112 vs 4 × Sciatic nerve, ControlGroups 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
Vasculogenic tissue nanotransfection accelerates functional recovery after peripheral nerve injuryScience advances · 2026
Summary (written by the submitters)
Peripheral nerve injuries (PNI) often result in persistent sensory, motor, and functional deficits, even after surgical reconstruction. While gene and cell therapies offer promise for enhancing regenerative outcomes, effective and targeted delivery remains a significant challenge. Here, we explored vasculogenic Tissue Nano-Transfection (TNT) as a novel, non-viral, reprogramming-based cell therapy to improve outcomes following graft reconstruction surgery.
Read the full summary ↓
TNT aims to improve nerve regeneration by inducing vasculogenic reprogramming and promoting neovascularization to support axonal growth. Through a combination of in vitro screening and in vivo testing in a nerve crush model, we identified an optimal formulation of the vasculogenic genes, Etv2, Fli1, and Foxc2 (EFF), for enhancing reprogramming and axonal repair. TNT-based deployment EFF in a long segmental nerve defect reconstructed with isografts resulted in significant improvements in functional recovery, including grip strength and muscle contractility. Histological analyses demonstrated increased vascular density and myelinated axon counts. These findings support the therapeutic potential of TNT-mediated vasculogenic reprogramming as an adjunct to surgical repair of complex PNI offering a promising strategy to improve nerve regeneration and functional outcomes.
Published in
Vasculogenic tissue nanotransfection accelerates functional recovery after peripheral nerve injury
Salazar-Puerta AI, Kheirkhah S, Stranan JP et al. · Science advances 2026 · PMID 41950328 · doi:10.1126/sciadv.aeb7631
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 GSE319328_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 PRJNA1423012 and SRA study SRP676703. Searching any of these in the dataset finder brings you back here.

Study design
4 × Sciatic nerve, Sham vs 4 × Sciatic nerve, EFF111 vs 4 × Sciatic nerve, EFF112 vs 4 × Sciatic nerve, Control

Supports a between-group comparison across 16 samples.

How we read this: 4 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.

Samples in this study
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