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DOT1L shapes ncPRC1-target gene repression to maintain cell identity of DLBCL [CUT&Tag]

GSE327306 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2026/06/19 Platform GPL18573
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 12 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)
Topic
Diffuse large B-cell lymphomaThis series is part of our curated briefing on it.
Samples
12 samples: 6 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.
Summary (written by the submitters)
DOT1L inhibition leads to a loss of H2AK119ub1 in different GC B-DLBCL cell lines. To determine whether this loss is global or gene specific, performed H2AK119ub1 and H3K27me3 CUT&Tag in the Oci-Ly7 cell line following six days of treatment with DMSO or DOT1Li. As reference, we used a doxycycline-inducible knockdown of USP7 due to its role in ncPRC1-mediated deposition of H2AK119ub1 in Oci-Ly7 cells.
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 GSE327306_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 PRJNA1450391 and SRA study SRP690068. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in duplicate
DMSO_H2AK119ub1 ×2 DMSO_H3K27me3 ×2 DOT1Li_H2AK119ub1 ×2 DOT1Li_H3K27me3 ×2 shUSP7_H2AK119ub1 ×2 shUSP7_H3K27me3 ×2

Supports a between-group comparison across 12 samples.

How we read this: 6 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
More Diffuse large B-cell lymphoma datasets

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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.