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X chromosome encoded histone demethylase UTX regulates mammalian axon regeneration via microRNA-124

GSE244243 Mus musculus (mouse) RNA-seq (gene expression) 13 samples Submitted 2024/10/01 Platform GPL24247Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 13 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
13 samples: 5 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.
Paper
Roles of Kdm6a and Kdm6b in Regulation of Mammalian Neural RegenerationAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
Summary (written by the submitters)
Neurons in the mammalian central nervous system (CNS) gradually lose their intrinsic regeneration capacity during maturation mainly because of altered transcription profile. Recent studies have made great progress by identifying genes that can be manipulated to enhance CNS regeneration. However, as a complex process involving many genes and signaling networks, it is of great importance to deciphering the underlying neuronal chromatin and transcriptomic landscape coordinating CNSregeneration.
Read the full summary ↓
Here we identify UTX, an X-chromosome associated gene encoding a histone demethylase, as a novel regulator of mammalian neural regeneration. We demonstrate that UTX acts as a repressor of spontaneous axon regeneration in the peripheral nerve system (PNS). In the CNS, either knocking out or pharmacological inhibiting UTX in retinal ganglion cells (RGCs) leads to significantly enhanced neuronal survival and optic nerve regeneration. RNA-seq profiling revealed that deleting UTX switches the RGC transcriptomics into a developmental-like state. Moreover, microRNA-124, one of the most abundant microRNAs in mature neurons, is identified as a downstream target of UTX and blocking endogenous microRNA124-5p results in robust optic nerve regeneration. These findings revealed a novel histone modification-microRNA epigenetic signaling network orchestrating transcriptomic landscape supporting CNS.
Published in
Roles of Kdm6a and Kdm6b in Regulation of Mammalian Neural Regeneration
Yang SG, Li CP, Wang XW et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2025 · PMID 39951327 · doi:10.1002/advs.202405537
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 GSE244243_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 PRJNA1021989 and SRA study SRP463677. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in triplicate
RGCs of UTX-AAV2-GFP mice (P42) ×3 RGCs of WT mice (P1) ×3 RGCs of WT mice (P14) ×3 RGCs of UTX-AAV2-Cre mice (P42) ×2 RGCs of WT mice (P21) ×2

Supports a between-group comparison across 13 samples.

How we read this: 5 replicated groups read from 13 sample titles; they account for 13 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.