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Pericytes and perivascular fibroblasts contribute to central nervous system fibrosis in a region dependent manner(DH SmartSeq)

GSE266250 Mus musculus (mouse) RNA-seq (gene expression) 503 samples Submitted 2024/05/10 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 503 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
503 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
Distinct origin and region-dependent contribution of stromal fibroblasts to fibrosis following traumatic injury in miceNature neuroscience · 2024
Summary (written by the submitters)
Fibrotic scar tissue formation is conserved throughout the central nervous system in humans and mice, and impairs tissue regeneration and functional recovery. However, the origin of scar-forming stromal fibroblasts is controversial. Here, we show that stromal fibroblasts found after spinal cord injury derive from two populations of perivascular cells that are anatomically and transcriptionally defined as pericytes and perivascular fibroblasts.
Read the full summary ↓
We identify two distinct perivascular cell populations, which activate and transcriptionally converge on the generation of stromal myofibroblasts after injury. Our results suggest potential targets to improve tissue regeneration and functional recovery after central nervous system injuries.
Published in
Distinct origin and region-dependent contribution of stromal fibroblasts to fibrosis following traumatic injury in mice
Holl D, Hau WF, Julien A et al. · Nature neuroscience 2024 · PMID 38849523 · doi:10.1038/s41593-024-01678-4
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 GSE266250_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: 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 PRJNA1106449 and SRA study SRP505008. Searching any of these in the dataset finder brings you back here.

Samples in this study

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