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A dual role of EZH2 in regulating A-to-I RNA editing and mRNA stability through ADAR1

GSE225951 Homo sapiens (human) RNA-seq (gene expression) 75 samples Submitted 2025/11/15 Platform GPL23227Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 75 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
Homo sapiens (human)
Samples
75 samples: 18 conditions, mostly in duplicateGroups 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
A dual role of EZH2 in regulating A-to-I RNA editing and mRNA stability through ADARNature communications · 2026
Summary (written by the submitters)
Adenosine-to-inosine (A-to-I) RNA editing, catalyzed by adenosine deaminases acting on RNA (ADARs), is a widespread modification in mammals. Cumulative evidence has suggested the altered A-to-I editing profile in prostate cancer (PCa), but the underlying mechanism remains unclear. Here, we discover enhancer of zeste homologue 2 (EZH2) as a novel ADAR interactor and editing regulator in PCa.
Read the full summary ↓
Through competing with Interleukin Enhancer Binding Factor 2 (ILF2) for ADAR1 binding, EZH2 reshapes the substrate selectivity of ADAR1 and thus exhibits a bidirectional role in editing regulation. Moreover, EZH2 depletion induces the translational repression of Transportin-1 (TRN1), which further results in the accumulation of cytoplasmic ADAR1 to protect many oncogenic transcripts from degradation. Consistently, depletion of ADAR1 dramatically enhances the sensitivity of PCa cells and tumors to EZH2 selective degraders. Collectively, our study highlights the significance of EZH2-ADAR1 cascade in governing RNA editing and mRNA stability, which may provide novel perspectives for the advancement of EZH2-targeting cancer therapies.
Published in
A dual role of EZH2 in regulating A-to-I RNA editing and mRNA stability through ADAR
Yi Y, Li Y, Wang R et al. · Nature communications 2026 · PMID 41882000 · doi:10.1038/s41467-026-71207-3
This dataset
Open GSE225951 in finder → Find more human 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 GSE225951_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 PRJNA938089 and SRA study SRP424235. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41882000) ↗
Study design
18 conditions, mostly in duplicate
C4-2 Cell line siADAR2 ×5 C4-2 Cell line siADAR1 ×4 C4-2 Cell line, DMSO ×3 C4-2 Cell line, EPZ ×3 C4-2 Cell line, GSK ×3 C4-2 Cell line siCTRL ×2 C4-2 Cell line siEZH2 ×2 C4-2 Cell line ADAR_CLIP ×2 +41 more

Supports a case/control comparison: 6 samples read as cases, 15 as controls.

How we read this: 18 replicated groups read from 75 sample titles; they account for 44 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

+ 35 more — browse all 75 samples with per-sample file links →

Datasets on a similar topic

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