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Epigenetic de-repression of drivers of neuroendocrine prostate cancer [CUT&Run]

GSE287182 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 30 samples Submitted 2025/07/25 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 30 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
30 samples: 15 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
Epigenetic Derepression of PROX1 Promotes Neuroendocrine Prostate Cancer ProgressionCancer research · 2025
Summary (written by the submitters)
Epigenetic de-repression of drivers of neuroendocrine prostate cancer
Published in
Epigenetic Derepression of PROX1 Promotes Neuroendocrine Prostate Cancer Progression
Venkadakrishnan VB, Presser A, Voss NCE et al. · Cancer research 2025 · PMID 40838977 · doi:10.1158/0008-5472.CAN-25-0636
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 GSE287182_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 PRJNA1211567 and SRA study SRP557908. Searching any of these in the dataset finder brings you back here.

Study design
15 conditions, mostly in duplicate
WCM154_H3K27ac ×2 WCM155_IgG ×2 WCM155_H3K4me3 ×2 WCM155_H3K27me3 ×2 WCM155_H3K27ac ×2 WCM1078_IgG ×2 WCM1078_H3K4me3 ×2 WCM1078_H3K27me3 ×2 +7 more

Supports a between-group comparison across 30 samples.

How we read this: 15 replicated groups read from 30 sample titles; they account for 30 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
Datasets on a similar topic

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