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Embryonic stem cell factors DPPA2/4 amplify active H3K4me3-H2AK119ub chromatin domains in non-small cell lung cancer (ChIPRx-seq)

GSE310165 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 73 samples Submitted 2026/01/20 Platform GPL30173
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 73 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
73 samples: 30 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
Embryonic stem cell factors DPPA2/4 amplify active H3K4me3-H2AK119ub chromatin domains in non-small cell lung cancerGenes & development · 2026
Summary (written by the submitters)
Embryonic regulators are often re-expressed in cancers, however the functional and molecular significance of this is not always understood. The epigenetic priming factors Developmental Pluripotency Associated 2 and 4 (DPPA2/4) have crucial roles in early development and are implicated in cancer pathogenesis. We reveal in non-small cell lung cancer (NSCLC), DPPA2/4 co-expression is associated with poorly differentiated tumours and impaired patient outcomes.
Read the full summary ↓
Biochemically, human DPPA2/4 multimerise for their protein stability and enhanced nucleosome binding activity. In NSCLC cells, DPPA2/4 bind CG-rich sequences including promoters of developmental, Wnt signaling and catabolic genes. Chromatin state modelling revealed DPPA2/4 preferentially bind active H3K4me3 and H3K27ac domains that were intriguingly also enriched for PRC1 and its product H2AK119ub, validated by H3K4me3-H2AK119ub sequential ChIP. Knockdown experiments revealed DPPA2/4 were required to maintain RING1B and H2AK119ub at these domains. Surprisingly, despite the presence of PRC2.1, these regions lacked any detectable H3K27me3, suggesting an uncoupling between the recruitment of PRC2 to chromatin and its catalytic product. When exogenously over-expressed in NSCLC cells where they are not normally present, DPPA2/4 bind to and promote active chromatin states, resulting in an increase in vivo xenograft tumour growth. Our results demonstrate how in NSCLC cells, DPPA2/4 act as molecular amplifiers of active and poised chromatin. Together, this highlights how aberrant re-activation of embryonic factors in cancers may take on new functions, promoting tumourigenesis.
Published in
Embryonic stem cell factors DPPA2/4 amplify active H3K4me3-H2AK119ub chromatin domains in non-small cell lung cancer
Seneviratne JA, Crisp CL, Glancy E et al. · Genes & development 2026 · PMID 41862192 · doi:10.1101/gad.353102.125
This dataset
Open GSE310165 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 GSE310165_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 PRJNA1365226 and SRA study SRP645441. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41862192) ↗
Study design
30 conditions, mostly in duplicate
A485-K27ME3 ×3 DMSO-K27ME3 ×3 A485-K119UB ×2 A485-K27AC ×2 DMSO-K119UB ×2 DMSO-K27AC ×2 shD2-CTRL-K119ub ×2 shD2-CTRL-K27 ×2 +33 more

Supports a between-group comparison across 62 samples.

How we read this: 30 replicated groups read from 73 sample titles; they account for 62 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

+ 33 more — browse all 73 samples with per-sample file links →

Datasets on a similar topic

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