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Next Generation Sequencing unveils the impact of CD4+ regulatory T cell (Treg)-derived extracellular vesicles (EVs) on the transcriptome of CD4+ T cells.

GSE208570 Homo sapiens Expression profiling by high throughput sequencing 9 samples Submitted 2025/03/20 Platform GPL18573
Summary
Purpose: The goal of this study was the transcriptome high-throughput data analysis of CD4+ T cells isolated from peripheral blood of healthy subjects and T cell receptor (TCR)-stimulated in vitro in the presence of Treg cell-derived EVs, compared with Tconv cell-derived EVs, or with control (mock) EVs (particles isolated from unconditioned medium). Methods: total RNA profile of human CD4+ T cells from healthy subjects. Libraries were prepared for sequencing on NextSeq 500 (llumina technology). Results: Paired differential expression and pathway enrichment analysis showed that CD4+ T cells treated with Treg cell-derived EVs are characterized by lower expression level of a plethora of transcripts linked to protein catabolism and cell growth. Conclusions: Several transcripts are differently regulated between CD4+ T cells treated with Treg cell-derived EVs and the same cells treated with either Tconv cell-derived EVs or mock EV controls.
Published in
MicroRNA-142-3p shuttling in extracellular vesicles marks regulatory T cell dysfunction in multiple sclerosis
De Rosa G, Russo C, Garavelli S et al. · Science translational medicine 2025 · PMID 40435218 · doi:10.1126/scitranslmed.adl1698
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Direct links to NCBI, no account and no request form: the whole study as GSE208570_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 9 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA860151 and SRA study SRP387076. Searching any of these in the dataset finder brings you back here.

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