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Conserved Topological Domains in Mammalian Genomes Identified by High-resolution Analysis of Chromatin Interactions

GSE35156 Homo sapiens (human) Other 9 samples Submitted 2012/04/10 Platform GPL11154Platform GPL13112
At a glance

human · 9 samples

Organism
Homo sapiens (human)
Samples
9 samples: 9 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
The spatial organization of the genome is intimately linked to its biological function, yet our understanding of higher order genomic structure is limited. Here we present high-resolution analyses of chromosomal organization in pluripotent and differentiated human and murine cell types determined using the Hi-C technique. We find that the mammalian genome is composed of over 1000 topological domains, which are stable among different cell types and highly conserved across species.
Read the full summary ↓
These megabase-long genomic structures, defined by prominent local chromatin interactions and separated by narrow boundary regions, likely function to restrict regulatory interactions between cis-acting elements and limit the spreading of heterochromatin during cellular differentiation. Interestingly, the boundaries are enriched not only for binding sites of the insulator protein CTCF, but also for promoters of house keeping genes, supporting a role for both CTCF and housekeeping genes in the establishment or maintenance of the topological domains.
This dataset
Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE35156_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA150781 and SRA study SRP010370. Searching any of these in the dataset finder brings you back here.

Study design
9 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 9 sample titles: 9 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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