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Gene expression profile of brain tissue from wildtype and GRN knock-out mice treated with an AAV driving expression of PTV-Progranulin in the liver

GSE260606 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2024/04/19 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 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
Peripheral expression of brain-penetrant progranulin rescues pathologies in mouse models of frontotemporal lobar degenerationScience translational medicine · 2024
Summary (written by the submitters)
PGRN is involved in lysosomal function and is expressed in the brain. Grn knock-out (KO) mice develop several pathologies including lysosomal lipi accumulation, gliosis and neurodegeneration. Here we seek to determine if we can rescue Grn KO pathologies with a peripherally delivered AAV, that targets the liver, and drives expression of full length PGRN fused to a mouse TfR binding scFv (AAV(L):bPGRN.
Read the full summary ↓
The PGRN fusion protein expressed by this AAV (8D3:PGRN), is brain penetrant. To study this, Grn KO mice were given a single IV injection of either saline or AAV(L):bPGRN at 4 months of age. After 8 months when the mice were 12 months of age, brain samples were collected and bulk RNA sequencing was performed to assess correction of transcriptional changes. Grn wild type (WT) mice treated with saline were also included as a control.
Published in
Peripheral expression of brain-penetrant progranulin rescues pathologies in mouse models of frontotemporal lobar degeneration
Reich M, Simon MJ, Polke B et al. · Science translational medicine 2024 · PMID 38838131 · doi:10.1126/scitranslmed.adj7308
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 GSE260606_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 PRJNA1082327 and SRA study SRP492637. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 16 more — browse all 16 samples with per-sample file links →

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