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Vascular and perivascular cell profiling reveals the molecular and cellular bases of blood-brain barrier heterogeneity [GEOMx]

GSE241199 Mus musculus (mouse) Spatial transcriptomics 53 samples Submitted 2024/07/23 Platform GPL24247
At a glance

Spatial transcriptomics · mouse · 53 samples

What it is
Spatial transcriptomicsGene activity measured with its position in a tissue section.
Organism
Mus musculus (mouse)
Samples
53 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.
Paper
Characteristics of blood-brain barrier heterogeneity between brain regions revealed by profiling vascular and perivascular cellsNature neuroscience · 2024
Summary (written by the submitters)
Nanostring GeoMX Whole Transcriptome Analysis performed on pericyte- and perivascular fibroblast-enriched areas of interest in the cortex and median eminence of the mouse brain
Published in
Characteristics of blood-brain barrier heterogeneity between brain regions revealed by profiling vascular and perivascular cells
Pfau SJ, Langen UH, Fisher TM et al. · Nature neuroscience 2024 · PMID 39210068 · doi:10.1038/s41593-024-01743-y
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 GSE241199_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: Spatial studies usually ship Space Ranger style folders (count matrix plus tissue images). Look for them among the supplementary files.

Also filed as BioProject PRJNA1006713 and SRA study SRP455848. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 53 more — browse all 53 samples with per-sample file links →

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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.