MDA-MB-468 cells treated with docetaxel or EZH2i+AKTi
RNA-seq (gene expression) · human · 36 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
- 36 samples: 36 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
- AKT and EZH2 inhibitors kill TNBCs by hijacking mechanisms of involutionNature · 2024
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 GSE251710_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 PRJNA1055096 and SRA study SRP478990. 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 36 sample titles: 36 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.
- GSM7983286 MDA-MB-468-DMSO-A
- GSM7983287 MDA-MB-468-DMSO-B
- GSM7983288 MDA-MB-468-DMSO-C
- GSM7983289 MDA-MB-468-COMBO-A
- GSM7983290 MDA-MB-468-COMBO-B
- GSM7983291 MDA-MB-468-COMBO-C
- GSM7983292 MDA-MB-468-DOC8-A
- GSM7983293 MDA-MB-468-DOC8-B
- GSM7983294 MDA-MB-468-DOC8-C
- GSM7983295 MDA-MB-468-DOC24-A
- GSM7983296 MDA-MB-468-DOC24-B
- GSM7983297 MDA-MB-468-DOC24-C
- GSM7986307 HCC38-DMSO-A
- GSM7986308 HCC38-DMSO-B
- GSM7986309 HCC38-DMSO-C
- GSM7986310 HCC38-COMBO-A
- GSM7986311 HCC38-COMBO-B
- GSM7986312 HCC38-COMBO-C
- GSM7986313 HCC1937-DMSO-A
- GSM7986314 HCC1937-DMSO-B
- GSM7986315 HCC1937-DMSO-C
- GSM7986316 HCC1937-COMBO-A
- GSM7986317 HCC1937-COMBO-B
- GSM7986318 HCC1937-COMBO-C
- GSM7986319 HCC1395-DMSO-A
- GSM7986320 HCC1395-DMSO-B
- GSM7986321 HCC1395-DMSO-C
- GSM7986322 HCC1395-AKT-A
- GSM7986323 HCC1395-AKT-B
- GSM7986324 HCC1395-AKT-C
- GSM7986325 HCC1395-EZH2-A
- GSM7986326 HCC1395-EZH2-B
- GSM7986327 HCC1395-EZH2-C
- GSM7986328 HCC1395-COMBO-A
- GSM7986329 HCC1395-COMBO-B
- GSM7986330 HCC1395-COMBO-C
- GSE252382 ATACseq of TNBC cell lines treated with EZH2i (tazemetostat) and/or AKTi (ipatasertib) 84 samples shares ezh2i, treated, akti
- GSE292059 Inflammatory Epithelial and Macrophage Pathways Underlie Residual Asthma Exacerbations in Urban Children Treated with Mepolizumab 965 samples shares treated
- GSE269374 Microprotein-Encoding RNA Regulation in Cells Treated with Pro-inflammatory and Pro-Fibrotic Stimuli (RNA-Seq colon cell lines) 54 samples shares treated
- GSE249009 RNA sequencing analysis of isoginkgetin and thapsigargin treated HCT116 and HCT116 ATF4 deficient cells 48 samples shares treated
- GSE281511 RNA seq of liver cancer cells treated with different concentration gradients of Thapsigargin (TG), Tunicamycin (TM), and FCCP 44 samples shares treated
- GSE303975 Transcriptomic profiling of LNCaP cells treated with enzalutamide, olaparib, or combination across multiple time points 36 samples shares treated
- GSE243013 A single-cell atlas of immune heterogeneity in anti-PD1-treated non-small cell lung cancer 243 samples shares treated
- GSE299432 Transcriptional Rewiring of BET Inhibitor Treated Ewing Sarcoma Cells Augments their Dependency on Focal Adhesion Kinase 30 samples shares treated
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.