Transcriptome profiling and ceRNA network of small extracellular vesicles from resting and degranulated mast cells

Epigenomics. 2023 Sep;15(17):845-862. doi: 10.2217/epi-2023-0175. Epub 2023 Oct 17.

Abstract

Aim: This study aimed to investigate the transcriptomic characteristics and interactions between competitive endogenous RNAs (ceRNAs) within small extracellular vesicles (sEVs) derived from mast cells (MCs). Methods: Transcriptome sequencing analyzed lncRNA, circRNA and mRNA expression in resting and degranulated MC-derived sEVs. Constructed ceRNA regulatory network through correlation analysis and target gene prediction. Results: Differentially expressed 1673 mRNAs, 173 lncRNAs and 531 circRNAs were observed between resting and degranulated MCs-derived sEVs. Enrichment analysis revealed involvement of neurodegeneration, infection and tumor pathways. CeRNA networks included interactions between lncRNA-miRNA, circRNA-miRNA and miRNA-mRNA, targeting genes in the hippo and wnt signaling pathways linked to tumor immune regulation. Conclusion: This study provides valuable insights into MC-sEV molecular mechanisms, offering significant data resources for further investigations.

Keywords: ceRNA network; circRNA; extracellular vesicle; lncRNA; mRNA; mast cell.

Plain language summary

Mast cells (MCs) are important for various health conditions, including allergies, infections, tumors and brain disorders. MCs release tiny structures called small extracellular vesicles (sEVs) that carry different molecules, such as genetic material, to communicate with other cells in the body's immune system. However, we still do not know much about how these sEVs work. In this study, we examined the sEVs from MCs and found specific genetic molecules that change when MCs become activated. We discovered that these molecules are involved in important processes related to diseases like neurodegeneration and infection. We also identified networks of molecules that interact with each other, influencing immune regulation of tumor. By studying this, we gain new knowledge about how MCs use sEVs to communicate with other cells in our body during immune responses.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Gene Expression Profiling
  • Gene Regulatory Networks
  • Humans
  • Mast Cells / metabolism
  • MicroRNAs* / genetics
  • MicroRNAs* / metabolism
  • Neoplasms*
  • RNA, Circular
  • RNA, Long Noncoding* / genetics
  • RNA, Long Noncoding* / metabolism
  • RNA, Messenger / genetics
  • RNA, Messenger / metabolism
  • Transcriptome

Substances

  • RNA, Circular
  • RNA, Long Noncoding
  • MicroRNAs
  • RNA, Messenger