← BioTransfer GEO Dataset Finder
GEO series

A potent and selective small-molecule degrader of ENL suppresses leukemia progression in vivo

GSE245927 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 105 samples Submitted 2024/09/13 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 105 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
105 samples: 35 conditions, mostly in triplicateGroups 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 potent and selective ENL degrader suppresses oncogenic gene expression and leukemia progressionScience advances · 2024
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
A potent and selective ENL degrader suppresses oncogenic gene expression and leukemia progression
Xue Z, Qin L, Xuan H et al. · Science advances 2024 · PMID 39196923 · doi:10.1126/sciadv.ado1432
This dataset
Open GSE245927 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 GSE245927_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 PRJNA1030395 and SRA study SRP467592. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39196923) ↗
Study design
35 conditions, mostly in triplicate
MV411 DMSO 24h DOT1L MNase ×3 MV411 DMSO 24h H3K79me2 soni ×3 MV411 DMSO 6h AFF1 MNase ×3 MV411 DMSO 6h CDK9 DSG ×3 MV411 DMSO 6h DOT1L MNase ×3 MV411 DMSO 6h ENL soni ×3 MV411 DMSO 6h Pol2S2P MNase ×3 MV411 DMSO 6h Pol2 MNase ×3 +30 more

Supports a between-group comparison across 102 samples.

How we read this: 35 replicated groups read from 105 sample titles; they account for 102 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

+ 65 more — browse all 105 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.