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Transcriptomic profiling of brain tissues from HIV-1 gp120 transgenic mice reveals insights into neuropathogenesis

GSE308110 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2026/04/08 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 10 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
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.
Paper
Targeting α7nAChR-driven brain endothelial pyroptosis mitigates HIV-1 gp120-induced blood-brain barrier breakdownBrain, behavior, and immunity · 2026
Summary (written by the submitters)
Despite tremendous progress with antiretroviral therapy, HIV-associated neurocognitive disorders (HAND) remain prevalent, underscoring the need for effective treatments. Sustained immune activation induced by the HIV-1 glycoprotein gp120 is a proposed mechanism leading to neuronal damage in the central nervous system (CNS).
Read the full summary ↓
To investigate the gp120-mediated transcriptional changes underlying neuropathogenesis, we performed RNA-sequencing (RNA-seq) analysis on brain tissue samples from HIV-1 gp120 transgenic mice and wild-type (WT) control mice to identify differentially expressed genes (DEGs) in the gp120-expressing brains compared to controls.
Published in
Targeting α7nAChR-driven brain endothelial pyroptosis mitigates HIV-1 gp120-induced blood-brain barrier breakdown
Zou J, Gao X, Chen J et al. · Brain, behavior, and immunity 2026 · PMID 41651130 · doi:10.1016/j.bbi.2026.106478
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 GSE308110_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 PRJNA1328745 and SRA study SRP620526. 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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