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Genome-wide maps of PRC2 complex components and chromatin states in prostate cancer cell lines

GSE39459 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2012/11/30 Platform GPL11154
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 12 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)
Samples
12 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)
We report the high-throughput profiling of PRC2 core subunits chromatin states and histone modifications in two prostate cancer cell lines, androgen-dependent cells LNCaP and androgen-independent cells LNCaP-abl (abl). By obtaining over 1 billion bases of sequence from chromatin immunoprecipitated DNA, we generated the genome-wide localizations of EZH2, SUZ12 and H3K27 trimethylation in both cell lines, and found that EZH2 can be localized to a subsets of chromating sites that don't have H3K27me3 or SUZ12 signals nearby.
Read the full summary ↓
Interestingly, these sites are enriched for the active histone marks H3K4 di/trimethylation as well as the RNA polymerase II, which suggest the potential function of these peaks in gene activation. Indeed, these sites are enriched near the transcription start sites of EZH2-activated genes. Further analysis of the transcription factor motifs enriched at these peaks revealed the enrichement of androgen receptor motif, suggesting a co-activator role for EZH2 in concert with AR. Our work demonstrated a novel funtion of EZH2 in transcriptional activation by directly binding to the chromatin sites that cooperate with AR.
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 GSE39459_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 PRJNA170921 and SRA study SRP014457. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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