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Androgen receptor-mediated assisted loading of the glucocorticoid receptor modulates transcriptional responses in prostate cancer cells (ChIP-seq)

GSE266213 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 24 samples Submitted 2025/05/21 Platform GPL18573
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 24 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
24 samples: 11 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
Androgen receptor-mediated assisted loading of the glucocorticoid receptor modulates transcriptional responses in prostate cancer cellsGenome research · 2025
Summary (written by the submitters)
Steroid receptors are involved in a wide array of crosstalk mechanisms that regulate diverse biological processes, with significant implications in diseases, particularly in cancers. In prostate cancer, indirect crosstalk between androgen receptor (AR) and glucocorticoid receptor (GR) is well-documented, where GR replaces antiandrogen inactivated AR becoming the disease driver.
Read the full summary ↓
However, the existence and impact of direct chromatin crosstalk between AR and GR in prostate cancer have remained elusive. Our genome-wide investigations reveal that AR activation significantly expands GR chromatin binding. Mechanistically, AR induces remodeling of closed chromatin sites, facilitating GR binding to normally inaccessible sites. Importantly, coactivation of AR and GR results in distinct transcriptional responses at both the population and single-cell levels. Intriguingly, genes and pathways affected by these transcriptional changes are generally associated with improved patient survival. Thus, the direct crosstalk between AR and GR yields markedly different outcomes from the known role of GR in circumventing AR blockade by antiandrogens.
Published in
Androgen receptor-mediated assisted loading of the glucocorticoid receptor modulates transcriptional responses in prostate cancer cells
Hiltunen J, Helminen L, Aaltonen N et al. · Genome research 2025 · PMID 40456604 · doi:10.1101/gr.280224.124
This dataset
Open GSE266213 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 GSE266213_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 PRJNA1106388 and SRA study SRP505061. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40456604) ↗
Study design
11 conditions, mostly in duplicate
VCaP_GR_EtOH_ChIP-seq ×2 VCaP_GR_Dex_ChIP-seq ×2 VCaP_GR_DexDHT_ChIP-seq ×2 VCaP_AR_DexDHT_ChIP-seq ×2 VCaP_SMARCA4_Dex_ChIP-seq ×2 VCaP_SMARCA4_DexDHT_ChIP-seq ×2 VCaP_FOXA1_DexDHT_ChIP-seq ×2 VCaP_BRD4_EtOH_ChIP-seq ×2 +5 more

Supports a between-group comparison across 22 samples.

How we read this: 11 replicated groups read from 24 sample titles; they account for 22 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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