← BioTransfer GEO Dataset Finder
GEO series

Daphnetin induces ferroptosis in ovarian cancer by inhibiting NAD(P)H: Quinone oxidoreductase 1 (NQO1)

GSE267812 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2024/05/23 Platform GPL16791
At a glance

RNA-seq (gene expression) · human · 18 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
18 samples: 6 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.
Summary (written by the submitters)
Ferroptosis, an emerging nonapoptotic, regulated cell death process distinguished by iron accumulation and subsequent lipid peroxidation, is intricately implicated in the development and progression of multiple cancer types. Here, we aimed to reveal that triggering ferroptosis is a promising treatment strategy for ovarian cancer.
Read the full summary ↓
In this study, we not only validated that daphnetin caused ferroptosis, but evaluated the effects of daphnetin (and/or cisplatin) in vitro and vivo.Here, we elucidated that daphnetin, a natural product isolated from Daphne Korean Nakai, can exert antitumor effects by inducing the death and suppressing the migration of ovarian cancer cells. Subsequently, transcriptome analysis and ferroptosis inhibitor (Fer-1 and DFO) experiments revealed that there is a close correlation between daphnetin and ferroptosis in ovarian cancer. We further found that daphnetin induced ferroptosis in ovarian cancer cells, as evidenced by the accumulation of intracellular ferrous iron (Fe2+), reactive oxygen species (ROS) and lipid peroxides, as well as the depletion of glutathione (GSH) and ferroptosis indicators (SLC7A11 and GPX4). In particular, daphnetin effectively reduced the mRNA and protein levels of NQO1 (a ubiquitous flavoenzyme), and a high expression level of NQO1 was significantly associated with poor prognosis and ferroptosis resistance in ovarian cancer patients. Furthermore, NQO1 activation markedly attenuated daphnetin-induced cell death, migration and ferroptotic events in vitro and vivo. Interestingly, we also found that treatment with daphnetin, a negative regulator of NQO1, in combination with cisplatin synergistically induced ovarian cancer cell cytotoxicity. This study demonstrated that daphnetin induces ferroptosis by inhibiting NQO1 in ovarian cancer cells. Our findings identified NQO1 as a new daphnetin target and suggested that targeting NQO1 might have therapeutic effects on ovarian cancer.
This dataset
Open GSE267812 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 GSE267812_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 PRJNA1113162 and SRA study SRP508500. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly in triplicate
A2780 cells, DMSO ×3 A2780 cells, Daphnetin(20mg/L) ×3 A2780 cells, Daphnetin(40mg/L) ×3 SKOV3 cells, DMSO ×3 SKOV3 cells, Daphnetin(20mg/L) ×3 SKOV3 cells, Daphnetin(40mg/L) ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.