← BioTransfer GEO Dataset Finder
GEO series

Mesenchymal stem cell-derived extracellular vesicles regulate M1 and M2 macrophages

GSE285462 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2026/01/01 Platform GPL18573
Summary
Mesenchymal stem cells (MSCs) can respond to micrenvironmental cues to exert immune suppression or stimulation. Both MSCs and macrophages (MΦs) are part of the bone marrow microenvironment. Separately, both cell types can influence the behavior of breast cancer cells towards dormancy and reverse dormancy. This study assessed the MΦ−ΜSC axis, specifically determined how activated MSCs could influence the type of MΦ. The toll like receptor 4 (TLR4) on MSCs was activated with LPS and then used to assess how this influence the type of MΦ. We demonstrated that activated MSCs can convert M2 MΦs to M1 type and vice versa. Interestingly, the transition is not stable showing re-transition to the original type. This suggested the ability of activated and inactivated MSCs to maintain homeostasis by dictating the MΦ type. We quantitated cytokine levels in the media from activated and inactivated MSCs without evidence of significant changes. Using siRNA and pharmacological inhibitors, the results supported a role for MSC derived extracellular vesicles (EVs) as mediators of MΦ transition. We assessed our published miRNA arrays from cancer activated MSCs and identified one of four potential miRNAs that has been reported to regulate myeloid cells. We further investigated molecular changes with RNA-Seq using extracts from activated and inactivated MSCs, and EVs from M1 and M2 MΦs
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE285462_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1203672 and SRA study SRP554129. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 4 more — browse all 4 samples with per-sample file links →

Similar datasets

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.