← BioTransfer GEO Dataset Finder
GEO series

JMJD3 and UTX as Key Targets for Gene-Modified Mesenchymal Stem Cell Therapy in Cartilage Tissue Engineering

GSE303471 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 36 samples Submitted 2025/10/01 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 36 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
36 samples: 36 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
JMJD3 and UTX as key targets for gene-modified mesenchymal stem cell therapy in cartilage tissue engineeringMolecular therapy : the journal of the American Society of Gene Therapy · 2026
Summary (written by the submitters)
Histone methylation plays a critical role in cartilage development, making it an appealing target for improving cartilage engineering protocols. In this study, we evaluated the roles of JMJD3 (KDM6B) and UTX (KDM6A), both demethylases of histone H3 at lysine 27 (H3K27), in chondrogenesis and their application in gene-modified mesenchymal stem cell therapy for cartilage tissue engineering.
Read the full summary ↓
Our findings revealed that JMJD3 is specifically upregulated during chondrogenesis in hBM-MSC, and is crucial for this differentiation process. In contrast, UTX was found to be dispensable for chondrogenesis. Nevertheless, both JMJD3 and UTX share the ability to demethylate similar gene loci, thereby promoting the expression of chondrogenic signature genes, which suggests functional redundancy. Notably, the genes encoding these H3K27me3 demethylases emerge as strong candidates for enhancing gene-modified mesenchymal stem cell therapy for cartilage tissue engineering, as their overexpression during chondrogenesis significantly increased the formation of thicker cartilage discs enriched with type II collagen. These findings emphasize the potential of transient JMJD3 transduction, along with a lesser emphasis on UTX, as effective strategies for improving gene-modified mesenchymal stem cell therapy in cartilage tissue engineering.
Published in
JMJD3 and UTX as key targets for gene-modified mesenchymal stem cell therapy in cartilage tissue engineering
Allas L, Aury-Landas J, Briet-Rochoux Q et al. · Molecular therapy : the journal of the American Society of Gene Therapy 2026 · PMID 41566779 · doi:10.1016/j.ymthe.2026.01.018
This dataset
Open GSE303471 in finder → Find more human ChIP / ATAC / CUT&Tag 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 GSE303471_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1295484 and SRA study SRP603117. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41566779) ↗
Study design
36 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 36 sample titles: 36 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

Search all human ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

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.