The effect of dual radiation and antiandrogen therapyt on prostate cancer cell lines [Myc-CaP]
RNA-seq (gene expression) · mouse · 12 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
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × Myc_Cap_ENZ_IR vs 3 × Myc_Cap_ENZ vs 3 × Myc_Cap_IR vs 3 × Myc_Cap_MOCKGroups 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.
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 GSE277593_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 PRJNA1162876 and SRA study SRP533710. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8525188 Myc_Cap_ENZ_IR_rep1 Myc_Cap_ENZ_IR
- GSM8525189 Myc_Cap_ENZ_IR_rep2 Myc_Cap_ENZ_IR
- GSM8525190 Myc_Cap_ENZ_IR_rep3 Myc_Cap_ENZ_IR
- GSM8525191 Myc_Cap_ENZ_rep1 Myc_Cap_ENZ
- GSM8525192 Myc_Cap_ENZ_rep2 Myc_Cap_ENZ
- GSM8525193 Myc_Cap_ENZ_rep3 Myc_Cap_ENZ
- GSM8525194 Myc_Cap_IR_rep1 Myc_Cap_IR
- GSM8525195 Myc_Cap_IR_rep2 Myc_Cap_IR
- GSM8525196 Myc_Cap_IR_rep3 Myc_Cap_IR
- GSM8525197 Myc_Cap_MOCK_rep1 Myc_Cap_MOCK
- GSM8525198 Myc_Cap_MOCK_rep2 Myc_Cap_MOCK
- GSM8525199 Myc_Cap_MOCK_rep3 Myc_Cap_MOCK
- GSE273079 Castration Increases Aggressiveness of Prostatic Luminal Progenitor Cells in Prostate Cancer Through FosL1/AP-1-Mediated Transcriptional Reprogramming 384 samples shares prostate
- GSE123160 Immunomodulatory properties of slowly cycling and mesenchymal-like castration-resistant prostate cancer stem cells 70 samples shares prostate
- GSE297143 EZH2 alters aggressive variant prostate cancer subtype evolution, but is not required for neuroendocrine prostate cancer [RNAseq] 54 samples shares prostate
- GSE309033 Combined BET Bromodomain and DNMT Inhibition Targets Lineage Plasticity in Prostate Cancer [BETi_DNMTi_mouse_RNAseq] 51 samples shares prostate
- GSE271053 A forward genetic screen identifies Sirtuin1 as a driver of neuroendocrine prostate cancer [RNA-Seq] 43 samples shares prostate
- GSE240383 Targeting IRE1α reprograms the tumor microenvironment and enhances anti-tumor immunity in prostate cancer 27 samples shares prostate
- GSE291912 Biobank of genetically defined murine prostate cancer tumoroids uncovers oncogenic pathways and drug vulnerabilities driven by PTEN-loss 24 samples shares prostate
- GSE316754 Senolytic approaches enhance chemotherapy immunogenicity in prostate cancer 24 samples shares prostate
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.