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Hippocampal single-cell RNA Atlas of chronic methamphetamine abuse-induced cognitive decline in mice

GSE252939 Mus musculus (mouse) Single-cell RNA-seq 10 samples Submitted 2025/09/30 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 10 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
10 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)
Chronic methamphetamine abuse induced cognitive decline is a frequent neuropsychiatric disorder with few effective treatments, who threatens human health and social stability and brings huge economic burden to society. We analyzed heterogeneity of mouse hippocampal cells under chronic methamphetamine treatment by scRNAseq to provide new molecular mechanisms of methamphetamine neurotoxicity and reliable, effective and accurate therapeutic targets.
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 GSE252939_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 PRJNA1063271 and SRA study SRP482947. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 10 more — browse all 10 samples with per-sample file links →

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