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Functional characterization of androgen receptor dimerization interfaces [RNA-seq]

GSE333539 Homo sapiens (human) RNA-seq (gene expression) 64 samples Submitted 2026/05/27 Platform GPL26167Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 64 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
64 samples: 12 conditions, mostly with about 4 replicates eachGroups 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)
The activity of the androgen receptor (AR) is thought to rely on interactions between its functional domains, including dimerization of the DNA-binding domain (DBD), the ligand-binding domain (LBD), and the N-terminal domain (NTD) with the LBD (N/C interaction). However, their contributions to genome-wide AR signaling remain unclear. Using U2OS cell lines expressing AR mutants that selectively disrupt each dimerization interface, we dissected their roles in transactivation, chromatin binding, cofactor recruitment, and transcriptional regulation.
Read the full summary ↓
The disruption of LBD dimerization or N/C interactions had limited effects. Both AR mutants largely preserved enhancer activity, chromatin occupancy, AR-associated interactomes and androgen-responsive transcriptional programs. In contrast, disruption of DBD dimerization profoundly rewired AR function. Although this mutant lost binding to many AR chromatin sites and attenuated the classical androgen-responsive transcriptome, it also retained activity at a subset of loci. In addition, it gained binding at new chromatin regions enriched for half-site androgen response elements and other transcription factor motifs. RUNX factors, whose binding motifs were among the enriched motifs, directly contributed to part of the altered AR program. These data identify DBD dimerization as the principal determinant of canonical AR signaling, while revealing that monomeric DNA-binding of AR adopts alternative, cofactor-assisted chromatin-binding strategies.
This dataset
Open GSE333539 in finder → Find more human RNA-seq 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 GSE333539_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1471274 and SRA study SRP704273. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
12 conditions, mostly with about 4 replicates each
U2OS Parental, DMSO, RNA-seq, ×4 U2OS Parental, 10nM DHT 16h, RNA-seq, ×4 U2OS-AR WT, DMSO, RNA-seq, ×4 U2OS-AR WT, 10nM DHT 16h, RNA-seq, ×4 U2OS-AR Dmon, DMSO, RNA-seq, ×4 U2OS-AR Dmon, 10nM DHT 16h, RNA-seq, ×4 U2OS-AR Lmon, DMSO, RNA-seq, ×4 U2OS-AR Lmon, 10nM DHT 16h, RNA-seq, ×4 +24 more

Supports a between-group comparison across 44 samples.

How we read this: 12 replicated groups read from 64 sample titles; they account for 44 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

+ 24 more — browse all 64 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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