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INVESTIGATION OF DIPIRYDAMOLE-ELICITED SIGNALING IN THE BRAIN OF NIEMANN PICK TYPE C MICE: A MULTI-OMIC STUDY.

GSE300629 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2026/01/05 Platform GPL25723
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 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
Investigation of dipyridamole-elicited signaling in the brain of Niemann Pick type C mice: A multi-omic studyBrain research bulletin · 2026
Summary (written by the submitters)
Niemann Pick type C1 (NPC1) is a rare, fatal disorder characterized by endosomal lipid accumulation that leads to damage of both peripheral organs and central nervous system (cerebellum and hippocampus are especially affected). Currently, miglustat is the only approved drug for NPC1, thus the identification of new treatments is mandatory.
Read the full summary ↓
We have previously demonstrated that the drug dipyridamole (DIP), an approved medicine that is clinically employed as an antiplatelet agent, rescued recognition memory and increased hippocampal expression of calbindin. On the contrary, the drug was unable to improve cerebellar-dependent motor function. In order to understand the mechanism of action engaged by DIP to exert its protective action in the hippocampus, we performed a multi-omic analysis of gene and proteins modulated by the treatment in the hippocampus and cerebellum of a mouse model of NPC1 disease.
Published in
Investigation of dipyridamole-elicited signaling in the brain of Niemann Pick type C mice: A multi-omic study
Tait S, Fratini F, Boussadia Z et al. · Brain research bulletin 2026 · PMID 41456743 · doi:10.1016/j.brainresbull.2025.111708
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 GSE300629_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 PRJNA1279393 and SRA study SRP593107. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 24 more — browse all 24 samples with per-sample file links →

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