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UHRF1 regulates AR ubiquitination to promote the loss of AR Signaling and Enzalutamide Resistance in Progression of Prostate Cancer

GSE295751 Homo sapiens (human) RNA-seq (gene expression) 11 samples Submitted 2025/04/29 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 11 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)
Topic
Prostate cancerThis series is part of our curated briefing on it.
Samples
11 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
UHRF1 regulates AR ubiquitination to promote the loss of AR signaling and enzalutamide resistance in progression of prostate cancerCell death & disease · 2026
Summary (written by the submitters)
In this study, we demonstrated the critical role of the epigenetic regulator UHRF1 in the enzalutamide resistance development of prostate cancer. We have shown that UHRF1 is highly expressed in enzalutamide-resistant prostate cancer cells and its expression correlates with the loss of androgen receptor (AR)-dependent glandular features. Knocking down UHRF1 led to increased AR expression and enhanced the activity of canonical AR signaling pathway in prostate cancer cells.
Published in
UHRF1 regulates AR ubiquitination to promote the loss of AR signaling and enzalutamide resistance in progression of prostate cancer
Zhang Y, Yu Z, Li Y et al. · Cell death & disease 2026 · PMID 41760602 · doi:10.1038/s41419-026-08511-9
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 GSE295751_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 PRJNA1256296 and SRA study SRP581834. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 11 more — browse all 11 samples with per-sample file links →

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