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Biomarkers that prospectively predict HIV-1 infection in high risk adults

GSE287060 Homo sapiens (human) RNA-seq (gene expression) 146 samples Submitted 2026/01/20 Platform GPL21697
At a glance

RNA-seq (gene expression) · human · 146 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
146 samples: 146 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
Variation in antiviral immunity and inflammation pathways precedes HIV-1 infection in a high-risk African cohortThe Journal of clinical investigation · 2026
Summary (written by the submitters)
We sequenced the RNA content of plasma-derived extracellular vesicles from a historical high risk HIV cohort at the Coast of Kenya. We found that an immunosuppresive transcriptional profile and the presence of Pegivirus C associate with HIV acquisition in this particular cohort.
Published in
Variation in antiviral immunity and inflammation pathways precedes HIV-1 infection in a high-risk African cohort
Kioko M, Mwangi S, Fwambah L et al. · The Journal of clinical investigation 2026 · PMID 41678285 · doi:10.1172/JCI195172
This dataset
Open GSE287060 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 GSE287060_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 PRJNA1211074 and SRA study SRP557619. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41678285) ↗
Study design
146 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 146 sample titles: 146 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

+ 106 more — browse all 146 samples with per-sample file links →

Datasets on a similar topic

Search all human 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.