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Distinct epigenomic landscapes of pluripotent and lineage-committed human cells

GSE17917 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 7 samples Submitted 2009/10/13 Platform GPL9115Platform GPL9052
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 7 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
7 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)
Human embryonic stem cells share identical genomic sequences with other lineage-committed cells yet possess the remarkable properties of self-renewal and pluripotency. It has been proposed that epigenetic regulatory mechanisms, involving DNA methylation and various chromatin modifications, are at least partly responsible for the distinct cellular properties between different cell types.
Read the full summary ↓
Previous studies focusing largely on gene promoters and CpG islands have identified close association between several chromatin modifications and DNA methylation, but revealed a relatively small degree of differences between pluripotent and lineage-committed cells. Here, we examine the association between 11 chromatin modifications and DNA methylation at high resolution throughout the genome in the human embryonic stem cells and primary fetal lung fibroblasts. We observe a new set of relationships between chromatin modifications and DNA methylation occurring outside of the promoter regions. We also find that epigenomic landscapes are drastically different between the ES cells and fibroblasts. In particular, over 40% of the human genome differs in their chromatin structure between the two cell types. Most of the changes come from a dramatic redistribution of the repressive H3K9me3 and H3K27me3 marks, which form large blocks that expand significantly in the fibroblasts relative to ES cells. Additionally, we identified numerous small and punctuated regions outside of promoters that are associated with many active chromatin modification marks, and show that chromatin dynamics at these potential regulatory sequences are associated with change in DNA methylation between the ES cells and fibroblasts. Our results provide new insights into epigenetic regulatory mechanisms underlying properties of pluripotency and cell fate commitment.
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 GSE17917_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 PRJNA120049 and SRA study SRP001251. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 7 more — browse all 7 samples with per-sample file links →

Datasets on a similar topic

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