RNAseq PC3 DMSO vs GW3965
RNA-seq (gene expression) · human · 10 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
- 10 samples: 5 × DMSO vs 5 × GWGroups 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
- Liver X Receptors Enhance Epithelial to Mesenchymal Transition in Metastatic Prostate Cancer CellsCancers · 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 GSE245578_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 PRJNA1029015 and SRA study SRP466813. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM7845253 DMSO_1 DMSO
- GSM7845254 DMSO_2 DMSO
- GSM7845255 DMSO_3 DMSO
- GSM7845256 DMSO_4 DMSO
- GSM7845257 DMSO_5 DMSO
- GSM7845258 GW_1 GW
- GSM7845259 GW_2 GW
- GSM7845260 GW_3 GW
- GSM7845261 GW_4 GW
- GSM7845262 GW_5 GW
- GSE215340 RNAseq data for COV362 and PEO1 cell lines treated with DMSO (vehicle) or Prexasertib 20 nM 12 samples shares dmso
- GSE253352 Interleukin-15-armored GPC3-CAR T cells for patients with solid cancers 83 samples shares pc3
- GSE297268 Alterations of splicing and gene expression in DMSO or 4OHT treated-IMR90 ER:HRAS G12V cells upon knockdown of SF3B1 and RBM39 48 samples shares dmso
- GSE278154 Bulk and single cell RNA sequencing analyses of GBM Primary and Recurrent, early and late passages, DMSO / TMZ treatment. 37 samples shares dmso
- GSE301583 Polysome seq of treated with Enzalutamide and untreated (DMSO)prostate cancer cell line with SPEN wt and SPEN KO 30 samples shares dmso
- GSE22917 SAGE-Seq gene expression profiles of Hs578T, MCF7, and SUM159PT cells treated with STAT3 or non-targeting siRNAs, DMSO, or CXCR2, PTGIS, HAS1, PFKFB3, JAK, or NQO1 inhibitor 27 samples shares dmso
- GSE313741 A covalent fragment screen identifies ferroptosis induced by GPX4 inhibition as a vulnerability of senescent cells [PC3] 25 samples shares pc3
- GSE279005 Effect of MIEN1-Based Peptide LA3IK on Gene Expression in EGF-Induced PC3 Prostate Cancer Cells at 0h, 30 Minutes, 1h, and 6h Time Points 25 samples shares pc3
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.