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Identifying RARG fusions or PML-RARA binding genes or analysis the epigenetic changes (H3K27ac, H3K4me1, and H3K4me3) in hCD34+ cells overexpressing CPSF6::RARG and NUP98::RARG.

GSE275303 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 34 samples Submitted 2024/10/16 Platform GPL34284
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 34 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
34 samples: 32 distinct titles, 2 of them repeatedGroups 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
Oncogenic role of RARG rearrangements in acute myeloid leukemia resembling acute promyelocytic leukemiaNature communications · 2025
Summary (written by the submitters)
To understand how RARG fusion proteins regulate their target genes in the hematopoietic system, we overexpressed fusions or PML-RARA in hCD34+ cells and identified target genes that are regulated by RARG fusions.
Read the full summary ↓
We found that RARG fusions selectively upregulated BCL2 and ATF3 in HSPCs, driving uncontrolled proliferation and disrupting the differentiation of RARG-AML cells.To investigate the mechanism how RARG fusions mediate activation of their downstream targets such as BCL2 and ATF3, we dected the epigenetic changes (H3K27ac, H3K4me1, and H3K4me3) associated with RARG fusions binding in hCD34+ cells overexpressing CPSF6::RARG and NUP98::RARG.
Published in
Oncogenic role of RARG rearrangements in acute myeloid leukemia resembling acute promyelocytic leukemia
Wang F, Zhao L, Tan Y et al. · Nature communications 2025 · PMID 39805831 · doi:10.1038/s41467-024-55047-7
This dataset
Open GSE275303 in finder → Find more human ChIP / ATAC / CUT&Tag 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 GSE275303_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 PRJNA1150541 and SRA study SRP527788. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39805831) ↗
Study design
32 distinct titles, 2 of them repeated
CON_H3K4me ×2 CPSF6-RARG_H3K4me ×2

How we read this: Read from 34 sample titles: 32 distinct titles with little repetition. 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
Datasets on a similar topic

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