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

Author:

Lin Lihui1ORCID,Liang Yuting2ORCID,Cao Tianyu3ORCID,Huang Yuji1,Li Weize1,Li Jia1ORCID,Wang Juan1ORCID,Peng Xia1,Ge Yiqin4,Li Yanning1,Li Li1ORCID

Affiliation:

1. Department of Laboratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P.R. China

2. Center for Clinical Laboratory, The First Affiliated Hospital of Soochow University Suzhou, Jiangsu, 215006, P.R. China

3. Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P.R. China

4. Department of Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, P.R. China

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.

Funder

National Natural Science Foundation of China

Shanghai Municipal Hospital Development Center

Science and Technology Commission of Shanghai Municipality

Publisher

Future Medicine Ltd

Subject

Cancer Research,Genetics

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