Targeting FOXA1 and FOXA2 Disrupts the Lineage-Specific Oncogenic Output in Prostate Cancer
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 97 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Topic
- Prostate cancerThis series is part of our curated briefing on it.
- Samples
- 97 samples: 30 conditions, mostly in duplicateGroups 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.
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 GSE281794_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1185712 and SRA study SRP539520. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 70 samples.
How we read this: 30 replicated groups read from 97 sample titles; they account for 70 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.
- GSM8582399 PC3, DKD, rep1 PC3, DKD,
- GSM8582400 PC3, DKD, rep2 PC3, DKD,
- GSM8582401 PC3, DKD, rep3 PC3, DKD,
- GSM8582402 PC3, DMSO, rep1 PC3, DMSO,
- GSM8582403 PC3, DMSO, rep2 PC3, DMSO,
- GSM8582404 PC3, DMSO, rep3 PC3, DMSO,
- GSM8582405 PC3, T, rep1 PC3, T,
- GSM8582406 PC3, T, rep2 PC3, T,
- GSM8582407 PC3, T, rep3 PC3, T,
- GSM8582408 PC3, PLKO, rep1 PC3, PLKO,
- GSM8582409 PC3, PLKO, rep2 PC3, PLKO,
- GSM8582410 PC3, PLKO, rep3 PC3, PLKO,
- GSM8588808 LNCaP, CTR, rep1 LNCaP, CTR,
- GSM8588809 LNCaP, CTR, rep2 LNCaP, CTR,
- GSM8588810 LNCaP, CTR, rep3 LNCaP, CTR,
- GSM8588811 LNCaP, FOXA2, rep1 LNCaP, FOXA2,
- GSM8588812 LNCaP, FOXA2, rep2 LNCaP, FOXA2,
- GSM8588813 LNCaP, FOXA2, rep3 LNCaP, FOXA2,
- GSM8588814 LNCaP, CTR-E, rep1 LNCaP, CTR-E,
- GSM8588815 LNCaP, CTR-E, rep2 LNCaP, CTR-E,
- GSM8588816 LNCaP, CTR-E, rep3 LNCaP, CTR-E,
- GSM8588817 LNCaP, FOXA2-E, rep1 LNCaP, FOXA2-E,
- GSM8588818 LNCaP, FOXA2-E, rep2 LNCaP, FOXA2-E,
- GSM8588819 LNCaP, FOXA2-E, rep3 LNCaP, FOXA2-E,
- GSM8588820 LNCaP, CTR-RES, rep1 LNCaP, CTR-RES,
- GSM8588821 LNCaP, CTR-RES, rep2 LNCaP, CTR-RES,
- GSM8588822 LNCaP, CTR-RES, rep3 LNCaP, CTR-RES,
- GSM8588823 LNCaP, FOXA2-RES, rep1 LNCaP, FOXA2-RES,
- GSM8588824 LNCaP, FOXA2-RES, rep2 LNCaP, FOXA2-RES,
- GSM8588825 LNCaP, FOXA2-RES, rep3 LNCaP, FOXA2-RES,
- GSM8628053 H660, CTR_INPUT, rep1
- GSM8628054 H660, KD_INPUT, rep1
- GSM8628055 H660, CTR_FOXA1, rep1
- GSM8628056 H660, KD_FOXA1, rep1
- GSM8628057 H660, CTR_FOXA2, rep1
- GSM8628058 H660, KD_FOXA2, rep1
- GSM8628059 H660, CTR_H3K27AC, rep1
- GSM8628060 H660, KD_H3K27AC, rep1
- GSM8628061 LNCaP, CTR_INPUT, rep1 LNCaP, CTR_INPUT,
- GSM8628062 LNCaP, CTR_FOXA2, rep1
+ 57 more — browse all 97 samples with per-sample file links →
- GSE115501 RNA sequencing on circulating tumor cells from prostate cancer patients 136 samples same disease briefing · shares prostate
- GSE222467 The RNA binding proteins LARP4A and LARP4B promote tumour growth and metastasis in prostate cancer and osteosarcoma 12 samples same disease briefing · shares prostate
- GSE300947 A novel six-biomarker panel identified from male breast cancer-associated fibroblasts demonstrates prognostic power for prostate tumors 6 samples same disease briefing · shares prostate
- GSE120181 Human prostate cancer cell line, 22Rv1: Control vs. luteolin treatment 2 samples same disease briefing · shares prostate
- GSE71008 Plasma extracellular RNA profiles in healthy and cancer patients 192 samples same disease briefing
- GSE242541 ONECUT2 is a druggable driver of luminal to basal breast cancer plasticity 12 samples same disease briefing
- GSE279872 Targeting FOXA1 and FOXA2 Disrupts the Lineage-Specific Oncogenic Output in Prostate Cancer [RNA-seq] 30 samples shares foxa1, foxa2, lineage-specific, targeting, oncogenic, disrupts, prostate, output
- GSE245969 EP300/CREBBP acetyltransferase inhibition limits steroid receptor and FOXA1 signaling in prostate cancer cells 122 samples shares foxa1, 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.