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H3K18Ac and H3K18Cr ChIP-seq and RNA-seq analysis of LPS-stimulated RAW 264.7 cells

GSE63889 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2015/03/26 Platform GPL13112
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 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
Mus musculus (mouse)
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)
(1) We sought to characterize the genomic profiles of H3K18Ac and H3K18Cr before and after the activation of the LPS-induced inflamatory response to elucidate the role of differential acylation in the process of gene activation. We performed chromatin Immunoprecipitation followed by massively parallel sequencing (ChIP-seq) with two antibodies, anti-H3K18Ac and anti-H3K18Cr, in RAW264.7 cells +/- LPS stimulation.
Read the full summary ↓
(2) We also sought to characterize the effect of increasing the cellular concentration of crotonyl-CoA prior to LPS-stimulation on the expression of different classes of LPS-induced genes. We performed RNA-seq on mRNA isolated from RAW264.7 cells under four conditions a) untreated and unstimulated, b) untreated and LPS stimulated, c) crotonate pre-treated and unstimulated, d) crotonate pre-treated and LPS stimulated. Sequencing was performed on the HiSeq2000 (Illumina).
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 GSE63889_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 PRJNA269347 and SRA study SRP050599. Searching any of these in the dataset finder brings you back here.

Samples in this study

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