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RNA-seq analysis of FDX2-inducible knockout (FDX2-iKO) ES2 ovarian carcinoma cells under normoxic and hypoxic conditions

GSE324929 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2026/07/01 Platform GPL29480
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)
Topic
Ovarian cancerThis series is part of our curated briefing on it.
Samples
12 samples: 3 × 20% O2 + Doxy vs 3 × 20% O2 wo Doxy vs 3 × 3% O2 + Doxy vs 3 × 3% O2 wo DoxyGroups 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
The iron-sulfur cluster assembly factor FDX2 is required for tumor initiation but not for growth of established tumors in transplantation modelsThe Journal of biological chemistry · 2026
Summary (written by the submitters)
This dataset provides RNA-seq profiles of human ES2 ovarian carcinoma cells harboring a doxycycline-regulated, inducible knockout of the FDX2 gene (FDX2-iKO ES2 cells). In this Tet-off system, FDX2 expression is maintained in the presence of doxycycline, while FDX2 knockout is induced upon doxycycline withdrawal. Cells were cultured under normoxic (20% O₂) or hypoxic (3% O₂) conditions, with or without doxycycline.
Read the full summary ↓
The aim of this study was to define the transcriptional consequences of FDX2 loss under varying oxygen levels. Raw read counts and processed data are provided to facilitate comparative expression analyses.
Published in
The iron-sulfur cluster assembly factor FDX2 is required for tumor initiation but not for growth of established tumors in transplantation models
Hashimoto E, Ohuchi M, Nomura M et al. · The Journal of biological chemistry 2026 · PMID 42208897 · doi:10.1016/j.jbc.2026.113200
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 GSE324929_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 PRJNA1438110 and SRA study SRP684072. Searching any of these in the dataset finder brings you back here.

Study design
3 × 20% O2 + Doxy vs 3 × 20% O2 wo Doxy vs 3 × 3% O2 + Doxy vs 3 × 3% O2 wo Doxy

Supports a between-group comparison across 12 samples.

How we read this: 4 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
More Ovarian cancer datasets

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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.