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A cellular and spatial map of the choroid plexus across brain ventricles and ages

GSE168704 Mus musculus (mouse) Single-nucleus RNA-seq 26 samples Submitted 2021/04/07 Platform GPL21273
At a glance

Single-nucleus RNA-seq · mouse · 26 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
26 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)
The choroid plexus (ChP) in each brain ventricle produces cerebrospinal fluid (CSF) and forms the blood-CSF barrier. We apply single cell and single nuclei sequencing to identify region and age specific shifts in gene expression of the constituent cell types of the choroid plexus. First, we sequenced whole cells (15,620) from each ventricle (lateral, third and fourth) of the embryonic mouse brain (Embryonic day (E) 16.5).
Read the full summary ↓
Our analyses and validation of gene (smFISH) and protein (immunohistochemistry) expression combined with spatial mapping (confocal imaging) revealed the identity and location of major cell types, subtypes, proliferating cells, progenitor populations and regionalized gene expression, across each ventricle in the developing brain. Next, to track age-dependent shifts in the choroid plexus properties, we performed single nuclei sequencing (83,040) across each ventricle of the embryonic (E16.5), adult (4 months) and aging (20 months) mouse brain. Epithelial and mesenchymal cells showed regionalized gene expression patterns by ventricle, starting at embryonic stages and persisting with age. Dramatic transcriptional shifts were found with maturation (embryonic to adult) and a smaller shift within each aged cell type. With aging, epithelial cells upregulated host defense programs and resident macrophages enhanced expression of IL-1b signaling genes. Our atlas revealed ChP brain barrier cellular diversity, architecture and signaling across ventricles during development, maturation and aging.
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 GSE168704_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 PRJNA713579 and SRA study SRP310237. Searching any of these in the dataset finder brings you back here.

Samples in this study

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