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Microglia development follows a stepwise program to regulate brain homeostasis - ChIP-seq

GSE79816 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 8 samples Submitted 2016/07/13 Platform GPL19057
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 8 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
8 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)
Microglia play important roles in life-long brain maintenance and in pathology, but are also crucial in the developing central nervous system; yet their regulatory dynamics during development have not been fully elucidated. Genome-wide chromatin and expression profiling coupled with single-cell transcriptomic analysis throughout development reveal that microglia undergo three temporal developmental stages in synchrony with the brain: early, pre-, and adult microglia, which are under the control of distinct regulatory circuits.
Read the full summary ↓
Knockout of the transcription factor MafB caused disruption of homeostasis in adulthood and increased inflammation. Environmental perturbations, such as the microbiome or prenatal immune activation, led to dysregulation of the developmental program, particularly in terms of inflammation. Together, our work identifies a stepwise developmental program of microglia integrating immune response pathways that may be associated with several neurodevelopmental disorders.
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 GSE79816_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 PRJNA317061 and SRA study SRP072733. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 8 more — browse all 8 samples with per-sample file links →

Datasets on a similar topic

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