The Estrogen receptor alpha regulated NEAT1 long non-coding RNA promotes prostate cancer progression
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 9 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
- 9 samples: 9 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.
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 GSE43988_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 PRJNA188299 and SRA study SRP018377. 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 9 sample titles: 9 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.
- GSM1076109 VCaP [ERα_ChIP-Seq]
- GSM1076110 VCaP + E2 [ERα_ChIP-Seq]
- GSM1076111 VCaP ERa + E2 [ERα_ChIP-Seq]
- GSM1076112 NCI H660 + E2 [ERα_ChIP-Seq]
- GSM1076113 VCaP Input DNA [ChIP-Seq control]
- GSM1076114 MEF WT [RNA-Seq]
- GSM1076115 MEF NEAT1 KO [RNA-Seq]
- GSM1076116 VCaP [RNA-Seq]
- GSM1076117 VcaP ERa [RNA-Seq]
- 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
- GSE244843 Relaxin Attenuates the Genomic Actions and Biological Effects of Estrogens in the Myometrium by Reducing Estrogen Receptor Alpha Phosphorylation 56 samples shares estrogen, receptor, alpha
- GSE99284 Enhancer reprogramming promotes pancreatic cancer progression and metastasis [ChIP-seq] 90 samples shares progression, promotes
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.