Human Adult Astrocyte Extracellular Vesicle Transcriptomics Study Identifies Specific RNAs Which Are Preferentially Secreted as EV Luminal Cargo.
Keerthanaa Balasubramanian ShanthiDaniel FischerAbhishek SharmaAntti KiviniemiMika KaakinenSeppo Juhani VainioGeneviève BartPublished in: Genes (2023)
Astrocytes are central nervous system (CNS)-restricted glial cells involved in synaptic function and CNS blood flow regulation. Astrocyte extracellular vesicles (EVs) participate in neuronal regulation. EVs carry RNAs, either surface-bound or luminal, which can be transferred to recipient cells. We characterized the secreted EVs and RNA cargo of human astrocytes derived from an adult brain. EVs were isolated by serial centrifugation and characterized with nanoparticle tracking analysis (NTA), Exoview, and immuno-transmission electron microscopy (TEM). RNA from cells, EVs, and proteinase K/RNase-treated EVs was analyzed by miRNA-seq. Human adult astrocyte EVs ranged in sizes from 50 to 200 nm, with CD81 as the main tetraspanin marker and larger EVs positive for integrin β1. Comparison of the RNA between the cells and EVs identified RNA preferentially secreted in the EVs. In the case of miRNAs, enrichment analysis of their mRNA targets indicates that they are good candidates for mediating EV effects on recipient cells. The most abundant cellular miRNAs were also abundant in EVs, and the majority of their mRNA targets were found to be downregulated in mRNA-seq data, but the enrichment analysis lacked neuronal specificity. Proteinase K/RNase treatment of EV-enriched preparations identified RNAs secreted independently of EVs. Comparing the distribution of cellular and secreted RNA identifies the RNAs involved in intercellular communication via EVs.
Keyphrases
- induced apoptosis
- cell cycle arrest
- endothelial cells
- blood flow
- endoplasmic reticulum stress
- dna methylation
- cell death
- oxidative stress
- genome wide
- single cell
- neuropathic pain
- brain injury
- photodynamic therapy
- signaling pathway
- deep learning
- spinal cord
- machine learning
- young adults
- multiple sclerosis
- rna seq
- newly diagnosed
- replacement therapy
- functional connectivity
- pluripotent stem cells