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UCSD Human Reference Epigenome Mapping Project

GSE16256 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 878 samples Submitted 2009/08/03 Platform GPL13393Platform GPL16791Platform GPL9052Platform GPL9115Platform GPL10999Platform GPL11154
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 878 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
878 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 human embryonic stem cells (hESCs) are a unique model system for investigating the mechanisms of human development due to their ability to replicate indefinitely while retaining the capacity to differentiate into a host of functionally distinct cell types. In addition, these cells could be potentially used as therapeutic agents in regenerative medicine.
Read the full summary ↓
Differentiation of hESCs involves selective activation or silencing of genes, a process controlled in part by the epigenetic state of the cell. In order to gain a better understanding of the epigenetic mechanisms regulating differentiation of hESCs, and produce general reference epigenome maps of the human cells, we propose to establish an Epigenome Center in San Diego. Our center will be focused on both undifferentiated hESC and four hESC-derived early embryonic cell lineages including extraembryonic endoderm, trophoblast, mesendoderm (a common precursor to mesodermal and endodermal lineages), and mesenchymal cells (a specific mesoderm derivative). We have developed and validated high throughput technologies for mapping the state of DNA methylation and chromatin modifications throughout the genome, and will use these methods to generate high-resolution maps of the reference epigenomes. Specifically, we will grow and differentiate hESCs into multiple lineages, and map DNA methylation sites using a newly developed technology that combines bisulfite conversion and whole genome shotgun sequencing. We will also determine the histone modification status in the genome by performing both ChlP-chip and ChlP-Seq analysis. We will develop advanced statistical and algorithmic solutions to facilitate high-throughput sequencing data analysis, and establish an informatics pipeline for collecting, storage, and distribution of epigenome maps. Finally, we will perform integrated data analysis to identify new epigenetic patterns in the genome that could provide insights in mechanisms of epigenetic regulation. **************** For data usage terms and conditions, please refer to: http://www.drugabuse.gov/funding/funding-opportunities/nih-common-fund/epigenomics-data-access-policies ****************
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 GSE16256_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 PRJNA34535 and SRA study SRP000941. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 878 more — browse all 878 samples with per-sample file links →

Datasets on a similar topic

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