RNA-seq of human RPE1 cells treated with or without Doxorubicin and Ferrostatin-1
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)
- Samples
- 12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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
- GPX4-dependent ferroptosis sensitivity is a fitness trade-off for cell enlargementiScience · 2025
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 GSE261028_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 PRJNA1084842 and SRA study SRP493706. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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.
- GSM8132791 1. CTRL
- GSM8132792 2. CTRL
- GSM8132793 3. CTRL
- GSM8132794 4. CTRL
- GSM8132795 5. DOX
- GSM8132796 6. DOX
- GSM8132797 7. DOX
- GSM8132798 8. DOX
- GSM8132799 9. DOX+F
- GSM8132800 10. DOX+F
- GSM8132801 11. DOX+F
- GSM8132802 12. DOX+F
- GSE296117 A single-cell RNA-seq dataset of synovial fluid from rheumatoid arthritis treated with TNF-α/JAK inhibitor 18 samples shares rna-seq, treated
- GSE237489 RNA-seq for iPSC-derived macrophages with/without Lipopolysaccharide (LPS) stimulation. 8 samples shares rna-seq, without
- GSE278951 Genome-wide DNA replication profiling and full-length total RNA sequencing from the same single cell [hTERT-RPE1 Whole-S] 98 samples shares rpe1
- GSE327707 Sorted bulk RNA-seq profiling of human peripheral blood mononuclear cell populations across diverse in vitro immune stimuli 150 samples shares rna-seq
- GSE310058 Single-nucleus transcriptomic profiling of human lung tissue in chronic obstructive pulmonary disease (COPD) [snRNA-seq] 149 samples shares rna-seq
- GSE342790 Development-inspired approach for the derivation of functional and transplantable salivary gland organoids from human pluripotent stem cells [RNA-Seq] 16 samples shares rna-seq
- GSE327352 Virus-like particles enable targeted gene engineering and pooled CRISPR screening in primary human myeloid cells [RNA-seq Exp2] 12 samples shares rna-seq
- GSE222556 Neoadjuvant PARPi or Chemotherapy in Ovarian Cancer Informs Targeting Effector Treg Cells for Homologous-Recombination-Deficient Tumors [10x scRNA-seq] 67 samples shares rna-seq
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.