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Metabolic Regulation of Gene Expression by Histone Lysine ß-hydroxybutyrylation [RNA-seq]

GSE69616 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2016/04/06 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 10 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
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)
We identified a new type of histone mark-lysine ß-hydroxybutyrylation (Kbhb). This ketone body derived histone mark (Kbhb) was dramatically induced in livers during starvation. To charactize histopne Kbhb: 1) We mapped genomic distributions of histone Kbhb marks (H3K9bhb, H3K4bhb and H4K8bhb) by ChIP-seq in mouse liver. 2) We examined the response of histone Kbhb mark to starvation by carrying out ChIP-seq experiments for H3K9bhb in both "starved" and "fed" mouse liver.
Read the full summary ↓
3) We also examined differentially-expressed genes during starvation by carrying out RNA-seq experiments in both "starved" and "fed" mouse liver. By integrating analyses of ChIP-seq and RNA-seq data, we tried to get a correlation between H3K9bhb mark and gene expression in response to starvation. 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 GSE69616_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA285988 and SRA study SRP059196. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 10 more — browse all 10 samples with per-sample file links →

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