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Epigenetic regulation of chromosomal instability by EZH2 methyltransferase [RNA-seq]

GSE254325 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/09/24 Platform GPL24247
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: 3 × D7-GFP-_DMSO vs 3 × D7-GFP-_EPZ vs 3 × D7-GFP_plus_DMSO vs 3 × D7-GFP_plus_EPZGroups 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
Epigenetic Regulation of Chromosomal Instability by EZH2 MethyltransferaseCancer discovery · 2026
Summary (written by the submitters)
Chromosomal instability (CIN) and epigenetic alterations, major drivers of tumor evolution, contribute to breast cancer metastasis. Whether CIN is epigenetically regulated in metastatic cells is poorly understood. Here we show that EZH2 expression is highly correlated with genomic copy number alterations across human breast tumors. Consistently, increased expression of EZH2 histone methyl transferase is associated with elevated CIN in triple negative breast cancer (TNBC) metastasis initiating cells.
Read the full summary ↓
Genetic or pharmacological inhibition of EZH2 suppresses CIN whereas forced overexpression of EZH2 in otherwise non-transformed cells promotes chromosome segregation errors. Integrated global chromatin and transcriptome profiling identified Tankyrase (TNKS), a multifunctional poly (ADP ribose) polymerase (PARP), as a direct target of EZH2 transcriptional suppressive activity. Strikingly, depletion of TNKS was sufficient to abrogate the ability of EZH2 inhibition to suppress CIN. EZH2-mediated suppression of TNKS induced centrosome amplification and multipolar mitosis which often clustered into pseudo-bipolar mitotic spindles exhibiting chromosome segregation defects. Our work establishes a previously unappreciated epigenetic regulatory mechanisms of CIN and suggests that CIN suppression might be an important component of epigenetic modifying therapies such as EZH2 inhibitors which are currently in clinical use.
Published in
Epigenetic Regulation of Chromosomal Instability by EZH2 Methyltransferase
Bai Y, Agustinus AS, Yomtoubian S et al. · Cancer discovery 2026 · PMID 41036949 · doi:10.1158/2159-8290.CD-25-0947
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 GSE254325_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 PRJNA1069751 and SRA study SRP486155. Searching any of these in the dataset finder brings you back here.

Study design
3 × D7-GFP-_DMSO vs 3 × D7-GFP-_EPZ vs 3 × D7-GFP_plus_DMSO vs 3 × D7-GFP_plus_EPZ

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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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.