Mapping Individual Chemoresistome in Breast Cancer Patients Unravels Diversity in Dynamic Transcriptional Adaptation
RNA-seq (gene expression) · human · 84 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
- 84 samples: 83 distinct titles, 1 of them repeatedGroups 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
- Chemoresistome mapping in individual breast cancer patients unravels diversity in dynamic transcriptional adaptationMolecular oncology · 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 GSE217624_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 PRJNA899843 and SRA study SRP407022. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 84 sample titles: 83 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.
- GSM6722935 NBR14
- GSM6722936 NBR15_1
- GSM6722937 NBR15_3
- GSM6722938 ST_1C
- GSM6722939 ST_1N_B
- GSM6722940 ST_1T
- GSM6722941 ST_5C
- GSM6722942 ST_5N
- GSM6722943 ST_5T
- GSM6722944 ST_6C
- GSM6722945 ST_6N
- GSM6722946 ST_6T
- GSM6722947 ST_7C
- GSM6722948 ST_7N
- GSM6722949 ST_7T
- GSM6722950 ST_8C
- GSM6722951 ST_8N_C
- GSM6722952 ST_8T
- GSM6722953 ST_10C
- GSM6722954 ST_10N_B
- GSM6722955 ST_10T
- GSM6722956 ST_11C
- GSM6722957 ST_11N_B
- GSM6722958 ST_11T
- GSM6722959 ST_12C
- GSM6722960 ST_12N
- GSM6722961 ST_12T
- GSM6722962 ST_13C
- GSM6722963 ST_13N_B
- GSM6722964 ST_13T
- GSM6722965 ST_14C
- GSM6722966 ST_14N
- GSM6722967 ST_14T
- GSM6722968 ST_16C
- GSM6722969 ST_23C
- GSM6722970 ST_23N
- GSM6722971 ST_23T
- GSM6722972 ST_24C
- GSM6722973 ST_24T
- GSM6722974 ST_28C
+ 44 more — browse all 84 samples with per-sample file links →
- 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
- GSE234181 Long-term multi-modal recording reveals epigenetic adaptation routes in dormant breast cancer cells [scRNA-Seq] 184 samples shares adaptation, breast
- GSE324093 ESR1 mutations shape the clonal dynamics, genetic diversity and cellular states of acquired resistance to CDK4/6 inhibitors [RNA-seq] 32 samples shares diversity, dynamic
- GSE314334 ACSL5 Mediates Adaptation to the Palmitic Acid-Enriched Pulmonary Microenvironment to Enhance Metastatic Breast Cancer Cell Survival and Lung Metastasis 15 samples shares adaptation, 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.