Individual RNA-seq for different prostate cancer cells and Lucap145.2 PDX treated by JQ1, AZD5153,ENZ or by FOXA1 and BRD4 gene knockdown
RNA-seq (gene expression) · human · 20 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
- Prostate cancerThis series is part of our curated briefing on it.
- Samples
- 20 samples: 3 × lu-V vs 3 × lu-AZD vs 3 × lu-JQ1 vs 2 × 42DsiFOXA1Groups 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
- Effective therapeutic targeting of tumor lineage plasticity in neuroendocrine prostate cancer by BRD4 inhibitorsActa pharmaceutica Sinica. B · 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 GSE265762_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 PRJNA1104164 and SRA study SRP503887. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 11 samples.
How we read this: 4 replicated groups read from 20 sample titles; they account for 11 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.
- GSM8228619 lu-V1 lu-V
- GSM8228620 lu-V2 lu-V
- GSM8228621 lu-V3 lu-V
- GSM8228622 lu-AZD1 lu-AZD
- GSM8228623 lu-AZD2 lu-AZD
- GSM8228624 lu-AZD3 lu-AZD
- GSM8228625 lu-JQ1-1 lu-JQ1
- GSM8228626 lu-JQ1-2 lu-JQ1
- GSM8228627 lu-JQ1-3 lu-JQ1
- GSM8228628 H660DMSO
- GSM8228629 H660AZD
- GSM8228630 H660JQ1
- GSM8228631 42DDMSO
- GSM8228632 42DAZD
- GSM8228633 42DJQ1
- GSM8228634 42DshGFP
- GSM8228635 42DshBRD4
- GSM8228636 42DsiCtrl
- GSM8228637 42DsiFOXA1-1 42DsiFOXA1
- GSM8228638 42DsiFOXA1-2 42DsiFOXA1
- GSE115501 RNA sequencing on circulating tumor cells from prostate cancer patients 136 samples same disease briefing
- GSE222467 The RNA binding proteins LARP4A and LARP4B promote tumour growth and metastasis in prostate cancer and osteosarcoma 12 samples same disease briefing
- GSE242541 ONECUT2 is a druggable driver of luminal to basal breast cancer plasticity 12 samples same disease briefing
- GSE300947 A novel six-biomarker panel identified from male breast cancer-associated fibroblasts demonstrates prognostic power for prostate tumors 6 samples same disease briefing
- GSE71008 Plasma extracellular RNA profiles in healthy and cancer patients 192 samples same disease briefing
- GSE120181 Human prostate cancer cell line, 22Rv1: Control vs. luteolin treatment 2 samples same disease briefing
- GSE265757 ATAC-seq for LuCaP145.2 tumors treated with 50 mg/kg JQ1 or 10 mg/kg AZD5153 for 7 days 3 samples shares lucap145, azd5153, jq1
- GSE270887 Toggling of BRD4 functions is triggered through its phosphorylation by JNK [RNAseq-JQ1] 12 samples shares brd4, jq1
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.