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Cannabis Use and Cannabidiol Modulate HIV-Induced Alterations in TREM2 Expression: Implications for Age-Related Neuropathogenesis

GSE285294 Homo sapiens (human) RNA-seq (gene expression) 48 samples Submitted 2025/11/07 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 48 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
Homo sapiens (human)
Samples
48 samples: 16 conditions, mostly in triplicateGroups 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
Cannabis use by people with HIV is associated with an anti-inflammatory immunometabolic phenotype in monocyte-derived macrophagesJournal of neuroinflammation · 2026
Summary (written by the submitters)
The study investigates the modulation of TREM2 and related gene expression in HIV- and HIV+ individuals with varying cannabis use patterns. RNA-seq data were obtained from monocyte-derived macrophages exposed to CBD, IL1B, and CBD+IL1B. This study aims to identify mechanisms by which CBD may alter neuroinflammatory processes relevant to TREM2, aging, and neuropathogenesis in people living with HIV.
Published in
Cannabis use by people with HIV is associated with an anti-inflammatory immunometabolic phenotype in monocyte-derived macrophages
Ford MK, Halcrow PW, Laird AE et al. · Journal of neuroinflammation 2026 · PMID 41998680 · doi:10.1186/s12974-026-03779-2
This dataset
Open GSE285294 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 GSE285294_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: 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 PRJNA1202180 and SRA study SRP553419. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41998680) ↗
Study design
16 conditions, mostly in triplicate
MDMs, HIV-Naïve, Vehicle ×3 MDMs, HIV-Naïve, IL1B ×3 MDMs, HIV-Naïve, CBD ×3 MDMs, HIV-Naïve, CBD+IL1B ×3 MDMs, HIV+Naïve, Vehicle ×3 MDMs, HIV+Naïve, IL1B ×3 MDMs, HIV+Naïve, CBD ×3 MDMs, HIV+Naïve, CBD+IL1B ×3 +8 more

Supports a between-group comparison across 48 samples.

How we read this: 16 replicated groups read from 48 sample titles; they account for 48 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

+ 8 more — browse all 48 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.