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The KDM1A and KDM7A lysine demethylases cooperate to regulate androgen receptor function in prostate cancer cells [KDM1A & KDM7A inhibitors]

GSE194279 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2026/07/29 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 12 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
12 samples: 6 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
KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancerMolecular oncology · 2026
Summary (written by the submitters)
KDM1A and KDM7A are Androgen Receptor coregulators. Here the KDM1A and KDM7A inhibitors, namoline and TCE-5002 were used to pharmacologically inhibit KDM1A and KDM7A in prosate cancer cells and the effect on androgen regulated gene expression and splicing determined.
Published in
KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer
Jeyapalan JN, Metzler VM, de Brot S et al. · Molecular oncology 2026 · PMID 41870972 · doi:10.1002/1878-0261.70238
This dataset
Open GSE194279 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 GSE194279_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 PRJNA800050 and SRA study SRP356467. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41870972) ↗
Study design
6 conditions, mostly in duplicate
LNCaP R1881 ×2 LNCaP R1881 + Namoline + TCE-5002 ×2 C42 R1881 ×2 C42 R1881 TCE-5002 ×2 C42 R1881 + Namoline ×2 C42 R1881 + Namoline + TCE-5002 ×2

Supports a between-group comparison across 12 samples.

How we read this: 6 replicated groups read from 12 sample titles; they account for 12 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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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.