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The androgen receptor coordinates biosynthesis and proliferation in prostate cancer

GSE28126 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 8 samples Submitted 2011/03/24 Platform GPL9052
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 8 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
8 samples
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.
Summary (written by the submitters)
The androgen receptor (AR) is the major therapeutic target in prostate cancer, although the important targets of the AR have remained obscure. Here we report a detailed genomic profile of AR signalling and find that the AR directly regulates glycolysis, anabolic metabolism and cell cycle regulators in prostate cancer. This coordinated transcriptional program promotes cancer cell proliferation and enhances the macromolecular synthesis needed to produce daughter cells.
Read the full summary ↓
Clinical gene expression profiles and mechanistic studies highlight the importance of CAMKK2, an AR target which regulates both cell proliferation and metabolism. Thus our genomics study identifies a direct link between AR signalling and aerobic glycolysis (the Warburg effect), providing a new perspective on the oncogenic function of the AR in prostate cancer.
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE28126_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA139851 and SRA study SRP002294. Searching any of these in the dataset finder brings you back here.

Samples in this study

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