Effect of decitabine on therapeutic response in doxorubicin- and paclitaxel-resistant breast cancer cell lines
RNA-seq (gene expression) · human · 29 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
- Breast cancerThis series is part of our curated briefing on it.
- Samples
- 29 samples: 8 conditions, mostly with about 4 replicates eachGroups 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
- Molecular profiling of chemotherapy-resistant breast cancer reveals DNA methylation remodeling associated with the acquisition of paclitaxel resistanceDrug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2026
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 GSE293933_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 PRJNA1247467 and SRA study SRP576918. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 29 samples.
How we read this: 8 replicated groups read from 29 sample titles; they account for 29 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.
- GSM8894750 A_DAC replicate 1 A_DAC
- GSM8894751 A_DAC replicate 2 A_DAC
- GSM8894752 A_DAC replicate 3 A_DAC
- GSM8894753 A_DAC replicate 4 A_DAC
- GSM8894754 A_DAC_DOX replicate 1 A_DAC_DOX
- GSM8894755 A_DAC_DOX replicate 2 A_DAC_DOX
- GSM8894756 A_DAC_DOX replicate 3 A_DAC_DOX
- GSM8894757 A_DAC_DOX replicate 4 A_DAC_DOX
- GSM8894758 A_DOX replicate 1 A_DOX
- GSM8894759 A_DOX replicate 2 A_DOX
- GSM8894760 A_DOX replicate 3 A_DOX
- GSM8894761 A_veh replicate 1 A_veh
- GSM8894762 A_veh replicate 2 A_veh
- GSM8894763 A_veh replicate 3 A_veh
- GSM8894764 A_veh replicate 4 A_veh
- GSM8894765 B_DAC replicate 1 B_DAC
- GSM8894766 B_DAC replicate 2 B_DAC
- GSM8894767 B_DAC replicate 3 B_DAC
- GSM8894768 B_DAC_DOX replicate 1 B_DAC_DOX
- GSM8894769 B_DAC_DOX replicate 2 B_DAC_DOX
- GSM8894770 B_DAC_DOX replicate 3 B_DAC_DOX
- GSM8894771 B_DOX replicate 1 B_DOX
- GSM8894772 B_DOX replicate 2 B_DOX
- GSM8894773 B_DOX replicate 3 B_DOX
- GSM8894774 B_DOX replicate 4 B_DOX
- GSM8894775 B_veh replicate 1 B_veh
- GSM8894776 B_veh replicate 2 B_veh
- GSM8894777 B_veh replicate 3 B_veh
- GSM8894778 B_veh replicate 4 B_veh
- GSE104193 Hypoxia-mediated translational activation of ITGB3 in breast cancer cells enhances TGF-β signalling and malignant features in vitro and in vivo 32 samples same disease briefing · shares breast
- GSE104675 Role for the Transcriptional Activator ZRF1 in Breast Cancer Progression and Endocrine Resistance 6 samples same disease briefing · shares breast
- GSE10886 A Supervised Risk Predictor of Breast Cancer Based on Biological Subtypes 226 samples same disease briefing · shares breast
- GSE11121 The humoral immune system has a key prognostic impact in node-negative breast cancer 200 samples same disease briefing · shares breast
- GSE10885 An integromic analysis reveals that metaplastic carcinomas are distinct from basal-like tumors. 244 samples same disease briefing
- GSE291679 Lineage Tracing Reveals Clone-Specific Responses to Doxorubicin in Triple-Negative Breast Cancer 36 samples shares doxorubicin, breast
- GSE253957 Methylation of the epigenetic regulator KMT2D by SMYD2 contributes to therapeutic response in hormone-dependent breast cancer [SMYD2_KD_RNA] 12 samples shares therapeutic, breast
- GSE300628 HER2 heterogeneous breast cancer models reveal novel therapeutic targets and subclonal dynamics during evolution to resistance to HER2-targeted therapies 60 samples shares therapeutic, breast
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.