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A covalent fragment screen identifies ferroptosis induced by GPX4 inhibition as a vulnerability of senescent cells

GSE307575 Homo sapiens (human) RNA-seq (gene expression) 11 samples Submitted 2026/02/15 Platform GPL30173
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)
Samples
11 samples: 4 × NON SENESCENT SK-MEL103 vs 4 × SENESCENT SK-MEL103 TREATED WITH ETOPOSIDE vs 3 × SENESCENT SK-MEL103 TREATED WITH TOZASERTIBGroups 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
Electrophilic compound screening identifies GPX4-dependent ferroptosis as a senescence vulnerabilityNature cell biology · 2026
Summary (written by the submitters)
We report the analysis of RNA sequencing aimed at understanding senescence induction in SK-MEL103 cells.
Published in
Electrophilic compound screening identifies GPX4-dependent ferroptosis as a senescence vulnerability
D'Ambrosio M, White MEH, Gavriil ES et al. · Nature cell biology 2026 · PMID 42032311 · doi:10.1038/s41556-026-01921-z
This dataset
Open GSE307575 in finder → Find more human RNA-seq datasets →
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 GSE307575_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 PRJNA1322319 and SRA study SRP618693. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42032311) ↗
Study design
4 × NON SENESCENT SK-MEL103 vs 4 × SENESCENT SK-MEL103 TREATED WITH ETOPOSIDE vs 3 × SENESCENT SK-MEL103 TREATED WITH TOZASERTIB

Supports a between-group comparison across 11 samples.

How we read this: 3 replicated groups read from 11 sample titles; they account for 11 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
Datasets on a similar topic

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