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ChIP-exo of human KRAB-ZNFs transduced in HEK 293T cells and KAP1 in hES H1 cells

GSE78099 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 237 samples Submitted 2017/03/06 Platform GPL16791
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 237 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
237 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)
Encoded in the hundreds by the human genome, KRAB-containing zinc finger proteins (KRAB-ZFPs) constitute a rapidly evolving family of transcription factors with largely undefined functions. Here, by a combination of phylogenetic and genomic approaches, we retrace the evolutionary history of KRAB-ZFP genes and define the genomic targets of their human products.
Read the full summary ↓
Through in silico analysis of 207 vertebrate genomes and chromatin immunoprecipitation / deep sequencing characterization of 257 human KRAB-ZFPs, we identify the root of the family in an early Devonian ancestor of tetrapods, describe its diversity amongst these species, and reveal that the majority of its human members primarily recognize transposable elements. Furthermore, by dissecting the timeline and modalities of interactions between human KRAB-ZFPs and their targets, we provide evidence strongly suggesting that these proteins, rather than just engaged in an evolutionary arms race against transposable elements, exploit these invaders as regulatory platforms for the benefit of the host.
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 GSE78099_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 PRJNA312613 and SRA study SRP070561. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 237 more — browse all 237 samples with per-sample file links →

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