Investigating therapy-induced senescence as a reversible escape mechanism of drug resistance in breast cancer cells using high-dose doxorubicin treatment
Single-cell RNA-seq · human · 12 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 12 samples: 6 conditions, mostly in duplicateGroups 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
- Therapy-induced senescence is a transient drug resistance mechanism in breast cancerMolecular cancer · 2025
Read the full summary ↓
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 GSE280381_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1178141 and SRA study SRP541015. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 6 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.
- GSM8595876 MCF7, CTR, replicate 1 MCF7, CTR,
- GSM8595877 MCF7, CTR, replicate 2 MCF7, CTR,
- GSM8595878 MCF7, TIS, replicate 1 MCF7, TIS,
- GSM8595879 MCF7, TIS, replicate 2 MCF7, TIS,
- GSM8595880 MCF7, REPOP, replicate 1 MCF7, REPOP,
- GSM8595881 MCF7, REPOP, replicate 2 MCF7, REPOP,
- GSM8595882 T47D, CTR, replicate 1 T47D, CTR,
- GSM8595883 T47D, CTR, replicate 2 T47D, CTR,
- GSM8595884 T47D, TIS, replicate 1 T47D, TIS,
- GSM8595885 T47D, TIS, replicate 2 T47D, TIS,
- GSM8595886 T47D, REPOP, replicate 1 T47D, REPOP,
- GSM8595887 T47D, REPOP, replicate 2 T47D, REPOP,
- GSE240377 Distinct functions of wild-type and mutant Δ133p53α R273H differentially regulate glioblastoma aggressiveness and therapy-induced senescence 72 samples shares therapy-induced, senescence
- GSE297352 Defective RNA processing and ELOA-mediated transcriptional elongation in reversible cellular senescence suggest aging by transcription 58 samples shares senescence, reversible
- GSE269717 Defective RNA processing and ELOA-mediated transcriptional elongation in reversible cellular senescence suggest aging by transcription 48 samples shares senescence, reversible
- GSE302932 Transcriptomic profiling of chlorogenic acid and taurine treatment in human skin cells provides insights into cellular senescence mechanisms 36 samples shares senescence, treatment
- GSE292003 Fatty acid synthesis therapy-induced senescence (FASTIS) in cancer cells 24 samples shares therapy-induced, senescence
- GSE216842 Transcriptomic landscape of human primary stromal cells (fibroblasts, endothelial cells and mesenchymal stem cells) upon therapy-induced senescence (genotoxic chemotherapy） 24 samples shares therapy-induced, senescence
- GSE301164 Comparative analysis of replicative and doxorubicin-induced senescence identifies conserved transcriptomic signatures in aging fibroblasts [RNA-Seq1] 21 samples shares doxorubicin, senescence
- GSE294934 Epigenomic analysis of organoids from colorectal cancer peritoneal and liver metastases uncovers a mechanism of resistance to doxorubicin 15 samples shares doxorubicin, resistance
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.