← BioTransfer GEO Dataset Finder
GEO series

Comprehensive androgen-dependent transcriptome analysis in human genital tissue

GSE300211 Homo sapiens (human) RNA-seq (gene expression) 64 samples Submitted 2025/07/14 Platform 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
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
Comprehensive androgen-dependent transcriptome analysis in human genital tissueBMC genomics · 2025
Summary (written by the submitters)
Background: Androgen signalling through the androgen receptor (AR) is crucial for male genital development. Disruptions in this pathway are associated with androgen insensitivity syndrome (AIS), which is typically caused by mutations in the AR gene, although the underlying genetic mechanisms remain unknown in many cases. To better understand androgen-dependent transcriptional changes in human genital tissue, we performed transcriptomic profiling of foreskin- and scrotum-derived human genital skin fibroblasts (GSFs) treated with dihydrotestosterone.
Read the full summary ↓
Results: Differential gene expression analysis revealed 409 and 260 reproducibly up-regulated genes in foreskin- and scrotum-derived GSFs, respectively. GSFs from individuals with complete androgen insensitivity syndrome, carrying inactivating mutations in the AR gene, showed no reproducible androgen response. Androgen response element motif scanning confirmed direct AR binding in key up-regulated genes, including AOX1, APOD, FKBP5, and FAM107A. Gene ontology analysis revealed enrichment in pathways related to neuronal, muscle, cardiovascular, and sex development. Conclusion: Identifying new AR target genes broadens the current understanding of androgen signalling and aids in better understanding the etiology of AIS, and other androgen-related conditions.
Published in
Comprehensive androgen-dependent transcriptome analysis in human genital tissue
Sivaprasad R, Händler K, Caliebe A et al. · BMC genomics 2025 · PMID 41249932 · doi:10.1186/s12864-025-12212-6
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 GSE300211_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: 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 PRJNA1279850 and SRA study SRP593279. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

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

Datasets on a similar topic

Search all human RNA-seq 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.