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Global Reorganization of Chromatin Architecture during Embronic Stem Cell Differentiation

GSE52457 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 27 samples Submitted 2015/02/18 Platform GPL11154Platform GPL16791
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 27 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
27 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 3D organization of the genome is important for regulation of diverse nuclear processes ranging from transcription to DNA replication. Knowledge of the higher order chromatin structure is critical for understanding mechanisms of gene regulation by long-range control elements such as enhancers and insulators. We describe high resolution, genome-wide dynamic chromatin interaction maps in human embryonic stem cells (hESC) as they differentiate into four distinct embryonic cell lineages.
Read the full summary ↓
Extensive reorganization of higher-order chromatin structure occurs during hESC differentiation. In this process, topological domains remain largely intact but inter-domain association patterns change dramatically, coincident with widespread changes in chromatin state and gene expression. Moreover, using proximity ligation sequencing to generate chromosome span haplotypes, widespread allele biased gene activities are detected. The allelic gene expression patterns can be correlated to epigenetic state at distal enhancers, supporting the role of these elements in regulating gene expression over a distance.
This dataset
Open GSE52457 in finder → Find more human ChIP / ATAC / CUT&Tag datasets →
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.

Series matrix ↓
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 GSE52457_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA228983 and SRA study SRP033089. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 25693564) ↗
Samples in this study

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+ 27 more — browse all 27 samples with per-sample file links →

Datasets on a similar topic

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