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Distinct blood CD3+ CD14+ T Cell-Monocyte complexes harbor HIV and are dynamic, glucose-dependent and increased in individuals with glucose intolerance

GSE230276 Homo sapiens (human) RNA-seq (gene expression) 3 samples Submitted 2024/12/31 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 3 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
3 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
CD3+ T-cell: CD14+ monocyte complexes are dynamic and increased with HIV and glucose intoleranceJournal of immunology (Baltimore, Md. : 1950) · 2025
Summary (written by the submitters)
Persistent systemic inflammation in persons with HIV (PWH) is accompanied by an increased risk of metabolic and cardiovascular diseases. Yet, changes in the innate and the adaptive immune in PWH who develop cardiometabolic disease remain insufficiently defined. Using mass cytometry we showed that PWH with prediabetes/diabetes had a significantly higher proportion of circulating CD14+ monocytes complexed with T cells.
Read the full summary ↓
The CD3+ T cells and CD14+ monocytes consisted of dynamic heterogeneous complexes. Furthermore, we detected more HIV DNA in T cell-monocyte complexes compared to CD14+ monocytes or CD4+ T cells alone. Our results demonstrate that CD3+ CD14+ T cell-monocyte pairs are functional and physically interacting immune cell complexes that are higher among PWH with diabetes, suggesting that they may contribute to metabolic disease pathogenesis, and provide a strong incentive for future studies to investigate T cell-monocyte immune complexes as mechanistic in HIV cure reservoir and other diseases of aging.
Published in
CD3+ T-cell: CD14+ monocyte complexes are dynamic and increased with HIV and glucose intolerance
Obare LM, Simmons J, Oakes J et al. · Journal of immunology (Baltimore, Md. : 1950) 2025 · PMID 40073149 · doi:10.1093/jimmun/vkae054
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 GSE230276_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 PRJNA958179 and SRA study SRP433791. Searching any of these in the dataset finder brings you back here.

Samples in this study

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