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Single cell RNA-seq identifies a unique microglia type associated with Alzheimer’s disease [ChIP]

GSE98970 Mus musculus (mouse) Single-cell RNA-seq 7 samples Submitted 2017/06/12 Platform GPL19057
At a glance

Single-cell RNA-seq · mouse · 7 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
7 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)
Alzheimer's disease (AD) is a detrimental neurodegenerative disease with no effective treatments. Due to cellular heterogeneity, the roles of immune cell subsets in AD onset and progression are poorly understood. By transcriptional single cell sorting, we comprehensively map all immune populations in wild type and AD–transgenic (Tg-AD) mouse brains.
Read the full summary ↓
We describe a novel microglia type associated with neurodegenerative diseases (DAM) and identify the markers, spatial-location, and pathways associated with these cells. Immunohistochemical staining of mice and human brain slices showed DAM with intracellular/phagocytic Aβ particles. Single cell analysis of DAM in Tg-AD and Trem2-/- Tg-AD revealed that the DAM program is activated in a two-step process. Activation is initiated in a Trem2 independent manner which involves down-regulation of microglia checkpoints, followed by activation of a Trem2-dependent program. These data identify a unique microglia-type, which may have important implications for future treatment of AD and other neurodegenerative diseases.
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 GSE98970_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA387078 and SRA study SRP107340. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 7 more — browse all 7 samples with per-sample file links →

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