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Microglia self-renewal comprises context-dependent random or clonal expansion.

GSE79252 Mus musculus (mouse) RNA-seq (gene expression) 21 samples Submitted 2017/03/27 Platform GPL15103
At a glance

RNA-seq (gene expression) · mouse · 21 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
21 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 constitute a highly specialized network of tissue resident immune cells that is important for the control of tissue homeostasis and the resolution of virtually all diseases of the central nervous system (CNS). However, how this dissemination is established and maintained in vivo and its kinetics of these processes are poorly understood.
Read the full summary ↓
Here we established a new multicolor fluorescence fate mapping system to monitor microglia dynamics during steady state and disease. Our findings that microglia establish a stable network over time albeit with regional differences and remarkably high turnover rates challenge their postulated longevity. Microglia self-renewal constitutes a random process without evidence of defined progenitor cells. Under pathological conditions this randomness shifts to clonal microglia expansion that is finally resolved by both cell apoptosis and egression for re-establishment of the stable microglia network. Our data reveal new insights on how microglia ensure their complex distribution throughout the healthy and diseased CNS .
This dataset
Open GSE79252 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE79252_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA315281 and SRA study SRP071802. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 28414331) ↗
Samples in this study

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+ 21 more — browse all 21 samples with per-sample file links →

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