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The regional mouse microglial transcriptome during aging

GSE62420 Mus musculus (mouse) Expression microarray 56 samples Submitted 2015/10/01 Platform GPL11180
At a glance

Expression microarray · mouse · 56 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Mus musculus (mouse)
Samples
56 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Microglia are the specialised macrophages of the central nervous system parenchyma. Diversity in macrophages is increasingly apparent in tissues outside the brain however understanding is negligible for microglia. In the present study, we present the first genome-wide analysis of microglia from discrete brain regions that reveals their multiple region-dependent transcriptional identities.
Read the full summary ↓
Differences in bioenergetic and immunoregulatory pathways are the major sources of transcriptional heterogeneity. Region-specific differences in immunophenotype suggest cerebellar and hippocampal microglia exist in a more immune vigilant state, but distinct from the conventional M1/M2 paradigm of activation. Functional responses correlate with regional transcriptional immunophenotypes. We also show that region-dependent differences in microglial immunophenotype are superimposed upon a core profile distinguishing all microglia from systemic macrophages. We suggest microglial diversity may enable microglia to accomplish their wide-ranging homeostatic functions but could also underlie region-specific sensitivity to neuroinflammatory-mediated degeneration. During ageing key findings were made regarding the reinforcement of a specific cerebellar immunophenotype and a contrasting loss in the distinction of the phenotype of the hippocampus. The present dataset provide an extensive underpinning resource for future studies to further define how microglial diversity influences the healthy, ageing and diseased brain.
This dataset
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Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE62420_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA264067. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 26780511) ↗
Samples in this study

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+ 56 more — browse all 56 samples with per-sample file links →

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