← BioTransfer GEO Dataset Finder
GEO series

A chronic, low-dose treatment with methamphetamine modulates genes implicated in neurodegeneration in a transgenic model of NeuroHIV

GSE255016 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2024/04/01 Platform GPL24247
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: 24 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
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
Chronic, Low-Dose Methamphetamine Reveals Sexual Dimorphism of Memory Performance, Histopathology, and Gene Expression Affected by HIV-1 Tat Protein in a Transgenic Model of NeuroHIVViruses · 2025
Summary (written by the submitters)
Methamphetamine (METH) is a frequently abused addictive psychostimulant. METH use is highly prevalent in people living with HIV (PLWH). The HIV and drug interaction may promote progression of HAND, as PLWH who uses METH reportedly have increased neuronal injury, cognitive impairment and viral load. However, low concentration of METH has an approved clinical use as a treatment for patients diagnosed with attention-deficit/hyperactivity disorder (ADHD).
Read the full summary ↓
Recent studies have also reported potential non-injurious effects via low-dose METH exposure, that improved learning and memory, and limited neuronal injury. This suggests that the specific dosage of METH plays a key role in determining whether the psychostimulant effects will be associated with apparent neurotoxicity or not. This study explored in vivo the effects of a long-term, low-dose METH regimen (12 weeks) in the HAND animal model with inducible expression of HIV-1 transactivator of transcription (Tat). In our observation, low dose of METH has a modulatory effect on learning and memory in the presence of the pathology-inducing HIV regulatory protein Tat. The observations from this study create the framework for future identification of potential targets for the treatment of neuroHIV/HAND in the context of psychostimulant use.
Published in
Chronic, Low-Dose Methamphetamine Reveals Sexual Dimorphism of Memory Performance, Histopathology, and Gene Expression Affected by HIV-1 Tat Protein in a Transgenic Model of NeuroHIV
Harahap-Carrillo IS, Fok D, Wong F et al. · Viruses 2025 · PMID 40143289 · doi:10.3390/v17030361
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 GSE255016_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 PRJNA1073205 and SRA study SRP488024. Searching any of these in the dataset finder brings you back here.

Study design
24 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 24 sample titles: 24 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.