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Microbial-Derived Metabolites Regulate the Colonic Crypt Niche

GSE74601 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2016/06/27 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)
In the mammalian intestine, crypts of Leiberkühn house intestinal epithelial stem /progenitor cells at their base. We found that the presence of this structure was supported by the physiologic role of a prominent bacterial metabolite, butyrate. This bacterially-produced short chain fatty acid inhibited intestinal epithelial proliferation at physiologic concentrations.
Read the full summary ↓
During homeostasis, butyrate did not suppress epithelial stem proliferation because it was metabolized by differentiated colonocytes. Provision of butyrate access to stem/progenitor cells either through mucosal injury or application to a crypt-less host led to inhibition of proliferation. The mechanism was dependent on HDAC inhibition in stem cells and the transcription factor Foxo3. Thus, the mammalian crypt unit structure provides energy for differentiated cells at a distance from the crypt base and this action prevents suppression of stem/progenitor proliferation.
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 GSE74601_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 PRJNA300945 and SRA study SRP065665. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

Datasets on a similar topic

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