A covalent fragment screen identifies ferroptosis induced by GPX4 inhibition as a vulnerability of senescent cells [PC3]
RNA-seq (gene expression) · human · 25 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
- 25 samples: 7 × palbo +rsl3 vs 6 × vehicle vs 6 × rsl3 vs 6 × palboGroups 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
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE313741_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1381513 and SRA study SRP655202. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 25 samples.
How we read this: 4 replicated groups read from 25 sample titles; they account for 25 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.
- GSM9373349 vehicle 1 vehicle
- GSM9373350 vehicle 2 vehicle
- GSM9373351 vehicle 3 vehicle
- GSM9373352 vehicle 4 vehicle
- GSM9373353 vehicle 5 vehicle
- GSM9373354 vehicle 6 vehicle
- GSM9373355 rsl3 1 rsl3
- GSM9373356 rsl3 2 rsl3
- GSM9373357 rsl3 3 rsl3
- GSM9373358 rsl3 4 rsl3
- GSM9373359 rsl3 5 rsl3
- GSM9373360 rsl3 6 rsl3
- GSM9373361 palbo 1 palbo
- GSM9373362 palbo 2 palbo
- GSM9373363 palbo 3 palbo
- GSM9373364 palbo 4 palbo
- GSM9373365 palbo 5 palbo
- GSM9373366 palbo 6 palbo
- GSM9373367 palbo +rsl3 1 palbo +rsl3
- GSM9373368 palbo +rsl3 2 palbo +rsl3
- GSM9373369 palbo +rsl3 3 palbo +rsl3
- GSM9373370 palbo +rsl3 4 palbo +rsl3
- GSM9373371 palbo +rsl3 5 palbo +rsl3
- GSM9373372 palbo +rsl3 6 palbo +rsl3
- GSM9373373 palbo +rsl3 7 palbo +rsl3
- GSE307575 A covalent fragment screen identifies ferroptosis induced by GPX4 inhibition as a vulnerability of senescent cells 11 samples shares gpx4, vulnerability, ferroptosis, identifies, inhibition, senescent, covalent
- GSE312563 Lysyl oxidase inhibition disrupts mitochondrial homeostasis to create vulnerability to ferroptosis in TNBC 12 samples shares vulnerability, ferroptosis, inhibition
- GSE275503 GETomics based bulk-RNA sequencing revealed HIF-3α prevents COPD by inhibiting alveolar epithelial cell ferroptosis via the HIF-3α-GPx4 axis. 36 samples shares gpx4, ferroptosis
- GSE290910 Cellular mechanisms of early brain overgrowth in autistic children: elevated levels of GPX4 and resistance to ferroptosis 24 samples shares gpx4, ferroptosis
- GSE235201 A continuous ferroptosis-to-apoptosis landscape identifies ferroptosis biomarkers and repressors for cancer therapy 64 samples shares ferroptosis, identifies
- GSE273492 Selective NSD2 Inhibition Reveals an Epigenetic Vulnerability of KRAS-Driven Cancers [RNA-Seq] 36 samples shares vulnerability, inhibition
- GSE287204 Discrete vulnerability to pharmacological CDK2 inhibition is governed by heterogeneity of the cancer cell cycle 24 samples shares vulnerability, inhibition
- GSE327563 Mediator kinase inhibition exposes a transcriptional vulnerability and primes AML for venetoclax sensitivity 18 samples shares vulnerability, inhibition
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.