RNA-seq analysis of resistant ER+ breast cancer cell lines
RNA-seq (gene expression) · human · 21 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
- 21 samples: 7 conditions, mostly in triplicateGroups 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
- Lipid metabolic reprogramming drives triglyceride storage and variable sensitivity to FASN inhibition in endocrine-resistant breast cancer cellsBreast cancer research : BCR · 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 GSE281935_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 PRJNA1186202 and SRA study SRP545289. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 21 samples.
How we read this: 7 replicated groups read from 21 sample titles; they account for 21 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.
- GSM8633037 T47D parental replicate 1 T47D parental
- GSM8633038 T47D parental replicate 2 T47D parental
- GSM8633039 T47D parental replicate 3 T47D parental
- GSM8633040 T47D TamR replicate 1 T47D TamR
- GSM8633041 T47D TamR replicate 2 T47D TamR
- GSM8633042 T47D TamR replicate 3 T47D TamR
- GSM8633043 T47D FulvR replicate 1 T47D FulvR
- GSM8633044 T47D FulvR replicate 2 T47D FulvR
- GSM8633045 T47D FulvR replicate 3 T47D FulvR
- GSM8633046 UCD4 parental replicate 1 UCD4 parental
- GSM8633047 UCD4 parental replicate 2 UCD4 parental
- GSM8633048 UCD4 parental replicate 3 UCD4 parental
- GSM8633049 UCD4 TamR2 replicate 1 UCD4 TamR2
- GSM8633050 UCD4 TamR2 replicate 2 UCD4 TamR2
- GSM8633051 UCD4 TamR2 replicate 3 UCD4 TamR2
- GSM8633052 UCD4 FulvR replicate 1 UCD4 FulvR
- GSM8633053 UCD4 FulvR replicate 2 UCD4 FulvR
- GSM8633054 UCD4 FulvR replicate 3 UCD4 FulvR
- GSM8633055 UCD4 EWD replicate 1 UCD4 EWD
- GSM8633056 UCD4 EWD replicate 2 UCD4 EWD
- GSM8633057 UCD4 EWD replicate 3 UCD4 EWD
- 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
- GSE319641 RNA-Seq profiling of pre- and on-treatment tumor samples from breast cancer patients enrolled in the NeoTRIP trial. 401 samples shares rna-seq, breast
- GSE261713 Linking single cell genomes and transcriptomes at scale to decode breast cancer progression [scRNA-seq] 35 samples shares rna-seq, breast
- GSE303346 Single-Cell RNA-Seq Reveals Immunosuppressive Effects of Triple-Negative Breast Cancer–Derived Exosomes on NK Cell Responses 16 samples shares rna-seq, 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.