← BioTransfer GEO Dataset Finder
GEO series

Targeting IGF2BP1 Enhances Immune Checkpoint Therapy in High-grade Serous Ovarian Cancer

GSE234708 Homo sapiens (human) Non-coding RNA profiling 26 samples Submitted 2025/10/28 Platform GPL18460Platform GPL24676Platform GPL30882
At a glance

Non-coding RNA profiling · human · 26 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Homo sapiens (human)
Topic
Ovarian cancerThis series is part of our curated briefing on it.
Samples
26 samples: 10 conditions, mostly in triplicateGroups 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
Inhibition of RNA-binding proteins enhances immunotherapy in ovarian cancerSignal transduction and targeted therapy · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Inhibition of RNA-binding proteins enhances immunotherapy in ovarian cancer
Bley N, Rausch A, Müller S et al. · Signal transduction and targeted therapy 2025 · PMID 41444249 · doi:10.1038/s41392-025-02515-1
This dataset
Open GSE234708 in finder → Find more human RNA-seq datasets → Ovarian 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 GSE234708_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 ↗

Also filed as BioProject PRJNA982792 and SRA study SRP442896. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41444249) ↗
Study design
10 conditions, mostly in triplicate
ES-2 cells, input, ×3 ES-2 cells,MS2 control RNA, ×3 ES-2 cells,PD-L1 3'UTR, ×3 ES-2 cells with PBMCs, DMSO, treatment ×3 ES-2 cells with PBMCs, CUB, treatment ×3 ES-2 cells with PBMCs, BTYNB, treatment ×3 DMSO, Killing, ES2, ×2 BTYNB-10pre_Killing_ES2, ×2 +2 more

Supports a between-group comparison across 26 samples.

How we read this: 10 replicated groups read from 26 sample titles; they account for 26 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
More Ovarian cancer datasets

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.