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Single-nucleus RNA sequencing of brain tissue from HIV-infected and uninfected donors.

GSE331008 Homo sapiens (human) Single-nucleus RNA-seq 10 samples Submitted 2026/05/19 Platform GPL24676
At a glance

Single-nucleus RNA-seq · human · 10 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue).
Organism
Homo sapiens (human)
Samples
10 samples: 4 × ART-suppressed dono vs 3 × Uninfected control dono vs 3 × Viremic donoGroups 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.
Summary (written by the submitters)
This project investigates the molecular and cellular mechanisms that enable HIV persistence within the human brain across distinct infection states. Postmortem brain tissues from uninfected controls, viremic individuals, and antiretroviral therapy (ART) suppressed people with HIV were dissociated into single-nucleus suspensions and profiled by high-throughput RNA sequencing.
Read the full summary ↓
The resulting dataset supports the identification of transcriptional reprogramming, immune modulation, and latent viral reservoir signatures associated with HIV-associated neurocognitive disorders (HAND). Integration of single-nucleus RNA-seq data across these clinical conditions provides a comprehensive atlas of HIV host interactions in the central nervous system.
This dataset
Open GSE331008 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE331008_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1357854. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
4 × ART-suppressed dono vs 3 × Uninfected control dono vs 3 × Viremic dono

Supports a between-group comparison across 10 samples.

How we read this: 3 replicated groups read from 10 sample titles; they account for 10 of them. 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

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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.