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Genome-wide Analysis of Vitamin D Receptor Binding By ChIP-Seq

GSE22484 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2010/06/22 Platform GPL9115
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 10 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
10 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)
We used ChIP-Seq to identify the genomic locations bound by the vitamin D receptor (VDR) in two lymphoblastoid cell lines (LCLs) (CEPH individuals GM10855 and GM10861 from the International HapMap Project) before and after calcitriol treatment for 36 hours. Immunoprecipitated DNA was sequenced using the Illumina Genome Analyzer II. Sequence reads (35 bases; 10-19 million quality-filtered reads/sample) were aligned to the human genome (NCBI Build 36.3) using ELAND software.
Read the full summary ↓
The number of unique alignments ranged from 7.73 million to 14.32 million. Peaks were called in the aligned sequence data using a model-based analysis of ChIP-Seq (MACS) and compared with sequenced sonicated and amplified input DNA. In the samples not treated with calcitriol, the number of peaks ranged from 468 to 4538 (median 975, mean 1587), while in the calcitriol-treated samples the number of peaks was between 2560 and 7244 (median 4546, mean 4560). 65-75% of peaks of untreated samples were in promoters, while only 24-50% of peaks of calcitirol-treated samples were in promoters. This study provides a comprehensive map of VDR binding in lymphoblastoid cell lines.
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 GSE22484_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 PRJNA128697 and SRA study SRP002673. Searching any of these in the dataset finder brings you back here.

Samples in this study

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