GEO series

Glutamine transporters regulate prostate cancer radiosensitivity through NUPR1-mediated stress response

GSE288717 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/07/30 Platform GPL24676

At a glance

RNA-seq (gene expression) · human · 24 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: 24 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: Disruption of glutamine transport uncouples the NUPR1 stress-adaptation program and induces prostate cancer radiosensitivityCell communication and signaling : CCS · 2025

Summary (written by the submitters)

Prostate cancer (PCa) presents a significant clinical challenge due to its resistance to conventional therapies such as radiotherapy (RT), which is exacerbated in advanced stages by metabolic and stress response adaptations. Our study investigates the roles of amino acid transporters SLC1A5, SLC7A5, and SLC38A1, in regulating NUPR1-mediated stress response, PCa cell survival, metabolic reprogramming, and response to RT.

Read the full summary ↓

Depletion of these transporters disrupted glutamine (Gln) uptake, leading to reduced cell viability, altered ROS levels, and enhanced radiosensitivity in DU145 and LNCaP cell lines. Functional assays revealed that targeting these transporters decreases stem cell-like properties, impairs cell cycle progression, and heightens DNA damage under RT. Besides, CB839, a glutaminase inhibitor, combined with RT, demonstrated a synergistic effect in vivo, significantly delaying tumor growth compared to other treatment groups. Our findings indicate that these transporters mediate PCa cells’ adaptation to nutrient stress, while NUPR1 promotes cellular survival under metabolic and genotoxic stress. The results highlight the therapeutic potential of targeting Gln metabolism and stress response pathways to improve treatment efficacy. Our findings indicate that targeting SLC1A5, SLC7A5, SLC38A1, and NUPR1 radiosensitizes PCa by disrupting metabolic adaptations and stress responses. These findings provide a potential therapeutic strategy to enhance the efficacy of RT and improve treatment outcomes for PCa patients.

Published in

Disruption of glutamine transport uncouples the NUPR1 stress-adaptation program and induces prostate cancer radiosensitivity

Kahya U, Lukiyanchuk V, Gorodetska I et al. · Cell communication and signaling : CCS 2025 · PMID 40707944 · doi:10.1186/s12964-025-02344-3

This dataset

Open GSE288717 in finder → Find more human RNA-seq datasets → Prostate cancer landscape →

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 GSE288717_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 PRJNA1219126 and SRA study SRP561484. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40707944) ↗

Samples in this study

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

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

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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.