Transcriptome profiling and ceRNA network of small extracellular vesicles from resting and degranulated mast cells.
Lihui LinYuting LiangTianyu CaoYuji HuangWeize LiJia LiJuan WangXia PengYiqin GeYanning LiLi LiPublished in: Epigenomics (2023)
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.
Keyphrases
- single cell
- long non coding rna
- genome wide
- heart rate
- rna seq
- heart rate variability
- stem cells
- gene expression
- signaling pathway
- transcription factor
- genome wide identification
- cell proliferation
- blood pressure
- wastewater treatment
- machine learning
- big data
- epithelial mesenchymal transition
- copy number
- network analysis
- cancer therapy
- binding protein