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ZMAT1 promotes osteoclast formation and bone loss through TRIM46 mediated YAP1 degradation. [CUT&Tag]

GSE274533 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 2 samples Submitted 2024/08/15 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 2 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
Mus musculus (mouse)
Samples
2 samples
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
ZMAT1 Promotes Osteoclastogenesis Through TRIM46 Mediated YAP1 Degradation and Inhibits OsteoblastogenesisAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
Summary (written by the submitters)
Osteoclasts and osteoblasts play a critical role in bone remodeling, and their dysregulation leads to pathological bone loss. However, precise regulation of their differentiation remains not fully elucidated. This study investigates the role of transcriptional regulator Zinc Finger Matrin-Type 1 (Zmat1) in both osteoclastogenesis and osteoblastogenesis.
Read the full summary ↓
Zmat1 deficiency resulted in decreased osteoclast activity, and reduced bone resorption. Mechanististically, ZMAT1 was significantly upregulated during osteoclast differentiation and acted as a transcriptional repressor of the E3 ubiquitin ligase TRIM46, which then regulates YAP1 degradation via K48-linked ubiquitination. Furthermore, Zmat1 deficiency also enhanced osteoblast activity and bone formation. These findings highlight a novel ZMAT1/TRIM46/YAP1 axis, providing new insights into the transcriptional regulation of both osteoclast and osteoblast differentiation, and present potential therapeutic targets for osteoporosis.
Published in
ZMAT1 Promotes Osteoclastogenesis Through TRIM46 Mediated YAP1 Degradation and Inhibits Osteoblastogenesis
Chang X, Hou Y, Cui L et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2026 · PMID 41769865 · doi:10.1002/advs.202521783
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 GSE274533_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1147164 and SRA study SRP525754. Searching any of these in the dataset finder brings you back here.

Samples in this study

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