← BioTransfer GEO Dataset Finder
GEO series

An environment-dependent transcriptional network regulates human microglia phenotypes

GSE89960 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 41 samples Submitted 2017/05/25 Platform GPL19057Platform GPL17021Platform GPL21103
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 41 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
41 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 essential roles in central nervous system (CNS) homeostasis and influence diverse aspects of neuronal function. Although dysregulation of microglia activity is genetically linked to neurodegenerative and behavioral diseases, the transcriptional mechanisms that specify human microglia phenotypes are largely unknown. We report here on the transcriptomes and epigenetic landscapes of human microglia isolated from surgically resected brain tissue, revealing broad similarities but also significant differences with mouse microglia.
Read the full summary ↓
Many genes associated with risk alleles for neurodegenerative diseases are preferentially or highly expressed in human microglia. The transition of human and mouse microglia from the brain to a tissue culture environment results in rapid and extensive downregulation of genes that are induced in primitive mouse macrophages following migration into the fetal brain. These findings reveal an environment-dependent transcriptional network specifying microglia-specific programs of gene expression and will facilitate efforts to better understand the roles of microglia in human disease.
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 GSE89960_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 PRJNA354308 and SRA study SRP093683. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 41 more — browse all 41 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.