GEO series

H3K27me3 CUT&TAG in C4.2B prostate cancer cell line treated with AKTi (ipatasertib) and EZH2i (tazemetostat).

GSE297899 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2026/05/18 Platform GPL30173

At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 10 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: 10 samples: 10 samples, each with a distinct title — no replicated groupsGroups 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)

Men with advanced prostate cancer are typically treated with androgen deprivation therapy, but most ultimately develop resistance and incurable disease (e.g. castration-resistant prostate cancer (CRPC)). The majority of CRPCs overexpress the epigenetic enzyme EZH2 and harbor alterations in the PI3K pathway, providing two targetable pathways outside of AR.

Read the full summary ↓

Here we show that EZH2 inhibitors synergize with PI3K, AKT, or mTORC1 inhibitors to kill CRPC in vitro and promote tumor regression in vivo. Strikingly, these agents trigger a catastrophic energy crisis by cooperatively suppressing glycolysis, the TCA cycle, and oxidative phosphorylation prior to cell death. EZH2 and PI3K pathway inhibitors achieve this by respectively inhibiting two key regulators of metabolism, MYC and HIF-1A, while concomitantly derepressing a pro-apoptotic stress sensor. Together, these studies reveal a promising therapeutic strategy for CRPC and demonstrate how metabolic plasticity can be fatally impaired by co-targeting upstream oncogenic nodes that converge on this important process.

This dataset

Open GSE297899 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 GSE297899_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 PRJNA1266700 and SRA study SRP587158. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

10 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 10 sample titles: 10 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

GSM9001650 C4.2B DMSO REP A
GSM9001651 C4.2B DMSO REP B
GSM9001652 C4.2B IPATA REP A
GSM9001653 C4.2B IPATA REP B
GSM9001654 C4.2B TAZ REP A
GSM9001655 C4.2B TAZ REP B
GSM9001656 C4.2B COMBO REP A
GSM9001657 C4.2B COMBO REP B
GSM9001658 C4.2B IGG DMSO REP A
GSM9001659 C4.2B IGG DMSO REP B

Datasets on a similar topic

GSE294275 Transcriptional analysis of direct NSD2 target genes in t(4;14) multiple myeloma reveals H3K36me2-dependent regulation and H3K27me3 antagonism [CUT&TAG] 40 samples shares h3k27me3, cut, tag
GSE327821 Single-molecule, single-cell profiling of linked chromatin states [Single_cell_CoCUT&Tag] 200 samples shares cut, tag
GSE307363 3D epigenomic landscape of human retinal pigment epithelium [CUT&Tag] 40 samples shares cut, tag
GSE327819 Single-molecule, single-cell profiling of linked chromatin states [Bulk_CoCUT&Tag] 35 samples shares cut, tag
GSE291224 AF9/KLF2 gene regulatory circuit links histone lactylation to breast cancer metastasis [CUT&Tag] 22 samples shares cut, tag
GSE278073 Targeting VRK2 Enhances the Efficacy of Anti-PD-1 Therapy in Hepatocellular Carcinoma by Reducing Direct Phosphorylation and Stability of MYC: CUT-TAG sequencing for MYC in hepatocellular carcinoma cells 16 samples shares cut, tag
GSE315216 Lysine Pyruvylation Mediated by HAT1/p300-SIRT3 Couples Glycolytic Flux to Epigenetic Regulation [CUT&Tag] 12 samples shares cut, tag
GSE318107 CAD-C: An engineered nuclease enables repair-free in situ proximity ligation and nucleosome-resolution chromosome walks in human cells [Cut & Tag] 10 samples shares cut, tag

Search all human ChIP / ATAC / CUT&Tag 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.