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3D structures of individual mammalian genomes reveal principles of nuclear organization

GSE80280 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 42 samples Submitted 2017/03/07 Platform GPL17021Platform GPL16417
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 42 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
Mus musculus (mouse)
Samples
42 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 folding of genomic DNA from the beads-on-a-string like structure of nucleosomes into higher order assemblies is thought to be critically linked to nuclear processes, but it is unclear to what degree it is a cause or consequence of function. We have calculated the first 3D structural models of entire mammalian genomes using data from a new chromosome conformation capture protocol that allows us to first image and then process single cells.
Read the full summary ↓
This has allowed us to study the folding of chromosomes down to a sub-100 kb scale. We show that the structures of individual topological-associated domains, chromosomes, and the way they pack together, varies very substantially from cell-to-cell. However, in all cells we find a consistent large-scale organization of compartments, with active enhancers and promoters clustering near inter-chromosomal interfaces, suggesting that nuclear processes such as transcription may drive chromosome and genome folding.
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 GSE80280_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 PRJNA318485 and SRA study SRP073306. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 42 more — browse all 42 samples with per-sample file links →

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