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Epigenetic changes by EZH2 inhibition increase translocations in B cells with high AID activity or DNA repair deficiency

GSE266298 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 130 samples Submitted 2025/11/18 Platform GPL21626Platform GPL16417Platform GPL24247Platform GPL15520Platform GPL23969
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 130 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
130 samples: 21 conditions, mostly with about 5 replicates eachGroups 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 changes by EZH2 inhibition increase translocations in B cells with high AID activity or DNA repair deficiencyBlood · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Epigenetic changes by EZH2 inhibition increase translocations in B cells with high AID activity or DNA repair deficiency
Tao J, Alessandri L, Gasparetto A et al. · Blood 2025 · PMID 40825195 · doi:10.1182/blood.2024026131
This dataset
Open GSE266298 in finder → Find more 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 GSE266298_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 PRJNA1106523 and SRA study SRP504863. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40825195) ↗
Study design
21 conditions, mostly with about 5 replicates each
CH12F3_Ligase4-KO_DMSO ×10 CH12F3_Ligase4-KO_Tazemetostat ×10 CH12F3_Ligase4-KO_Valemetostat ×10 CH12F3_AID-KO_DMSO ×8 CH12F3_AID-WT_Valemetostat ×8 CH12F3_AID-KO_Tazemetostat ×7 MEC-1 AID-WT Idelalisib ×7 CH12F3_AID-KO_Valemetostat ×6 +21 more

Supports a between-group comparison across 122 samples.

How we read this: 21 replicated groups read from 130 sample titles; they account for 122 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

+ 90 more — browse all 130 samples with per-sample file links →

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.