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Histone arginine methyltransferase CARM1 Is Crucial for Epigenetic Regulation of Starvation-induced Autophagy

GSE72901 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2016/06/17 Platform GPL17021
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 12 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
12 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)
Autophagy is a highly conserved self-digestion process, essential to maintain homeostasis and viability in response to nutrient starvation. Although the components of autophagy in the cytoplasm have been well-studied, molecular basis for the epigenetic regulation of autophagy is poorly understood. Here, we identify histone arginine methyltransferase CARM1 as a critical component of autophagy.
Read the full summary ↓
We found that nutrient starvation increased CARM1 protein level and subsequently histone H3R17 dimethylation. Genome-wide analyses reveal that CARM1 exerts transcriptional coactivator function on autophagy-related genes and lysosomal genes through TFEB. Our findings demonstrate a previously unrecognized role of CARM1-dependent histone arginine methylation as a critical nuclear event of autophagy.
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 GSE72901_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 PRJNA295297 and SRA study SRP063563. Searching any of these in the dataset finder brings you back here.

Samples in this study

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