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TFEB/3 govern repair Schwann cell generation and function following peripheral nerve injury

GSE249114 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/08/12 Platform GPL25723
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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
TFEB/3 Govern Repair Schwann Cell Generation and Function Following Peripheral Nerve InjuryThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
Summary (written by the submitters)
After peripheral nerve injury, adult Schwann cells convert to progenitor cell-like repair Schwann cells, which are pivotal for nerve regeneration. We show that Schwann cell-specific deletion of TFEB/3 disrupts the transcriptomic reprogramming necessary for injury-induced repair Schwann cell generation in mice. The mutant mice fail to generate proliferating repair Schwann cells to populate the injured nerves.
Read the full summary ↓
Distal Schwann cells fail to express injury-responsive genes and continue to maintain the expression of myelin-associated genes. TFEB/3 binding motifs are enriched in injury-induced enhancers, suggesting their role in repair gene activation. Autophagy-dependent myelin breakdown is not impaired in the mutant mice despite the known function of TFEB/3 as autophagy activators. However, the mutant mice exhibit defects in axon regeneration, target reinnervation, and functional recovery. Therefore, TFEB/3 play a critical role in orchestrating transcriptional changes essential for repair Schwann cell generation and function necessary for peripheral nerve regeneration.
Published in
TFEB/3 Govern Repair Schwann Cell Generation and Function Following Peripheral Nerve Injury
Patel AA, Kim H, Ramesh R et al. · The Journal of neuroscience : the official journal of the Society for Neuroscience 2024 · PMID 39054068 · doi:10.1523/JNEUROSCI.0198-24.2024
This dataset
Open GSE249114 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 GSE249114_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 PRJNA1047194 and SRA study SRP475209. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39054068) ↗
Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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.