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Analysis of the vertebrate insulator protein CTCF binding sites in the human genome

GSE5559 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 42 samples Submitted 2007/01/01 Platform GPL4152Platform GPL4172Platform GPL4166Platform GPL4169Platform GPL4155Platform GPL4175Platform GPL4138Platform GPL4178Platform GPL4158Platform GPL4132Platform GPL4144Platform GPL4164Platform GPL4167Platform GPL4141Platform GPL4153Platform GPL4161Platform GPL4173Platform GPL4162Platform GPL4170Platform GPL4156Platform GPL4139Platform GPL4176Platform GPL4159Platform GPL1454Platform GPL4179Platform GPL4142Platform GPL4165Platform GPL4168Platform GPL4154Platform GPL4171Platform GPL4157Platform GPL4174Platform GPL4177Platform GPL4143Platform GPL4151Platform GPL4180Platform GPL4163Platform GPL4137Platform GPL4140Platform GPL4160
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 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
Homo sapiens (human)
Samples
42 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
Insulators are an important class of transcriptional regulatory sequences that affect gene expression by preventing the spread of heterochromatin and restricting how transcriptional enhancers select their target genes. The vertebrate insulators function by interacting with the CCCTC-binding factor (CTCF), an evolutionarily conserved DNA binding protein.
Read the full summary ↓
Knowledge of the CTCF binding sites in the human genome is crucial for identifying potential insulators and understanding the role of these elements in regulating genome expression in the human cells. Here, we report the identification and characterization of a large number of CTCF binding sites in the human genome. Using chromatin immunoprecipitation combined with high-resolution genome-tiling arrays, we have determined the locations of CTCF throughout the non-repetitive human DNA sequences, identifying 13,804 binding sites in the genome of human fibroblasts. Computational analysis of these sequences revealed a single dominant CTCF consensus motif that is shared by a vast majority of the CTCF binding sites and is highly conserved in other vertebrate genomes. The CTCF binding segments the human genome into 5,969 domains, which contain an average of 2.5 genes each. Many large gene families, such as the olfactory receptor genes, are bounded by the CTCF sites, implicating a role of CTCF in the regulation or evolution of these genes. We demonstrate that CTCF binding can occur in a cell type dependent manner, and that binding of CTCF between two neighboring genes coincides with a loss of coordinated expression, consistent with their role as insulators. Our results provide a general resource and framework for analyzing the role of CTCF and insulator elements in the regulation of nearly every gene in the human genome. Keywords: ChIP-chip
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 (GSE5559_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

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 PRJNA63415. 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 →

Datasets on a similar topic

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