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静息和脱颗粒肥大细胞来源的小细胞外囊泡的转录组分析及竞争性内源RNA网络

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

作者信息

Lin Lihui, Liang Yuting, Cao Tianyu, Huang Yuji, Li Weize, Li Jia, Wang Juan, Peng Xia, Ge Yiqin, Li Yanning, Li Li

机构信息

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

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

出版信息

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

Abstract

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). 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. 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. This study provides valuable insights into MC-sEV molecular mechanisms, offering significant data resources for further investigations.

摘要

本研究旨在探究肥大细胞(MC)来源的小细胞外囊泡(sEV)内竞争性内源性RNA(ceRNA)之间的转录组特征及相互作用。转录组测序分析了静息和脱颗粒的MC来源的sEV中的lncRNA、circRNA和mRNA表达。通过相关性分析和靶基因预测构建ceRNA调控网络。在静息和脱颗粒的MC来源的sEV之间观察到1673个差异表达的mRNA、173个lncRNA和531个circRNA。富集分析显示神经退行性变、感染和肿瘤途径参与其中。ceRNA网络包括lncRNA-miRNA、circRNA-miRNA和miRNA-mRNA之间的相互作用,靶向与肿瘤免疫调节相关的河马和Wnt信号通路中的基因。本研究为MC-sEV分子机制提供了有价值的见解,为进一步研究提供了重要的数据资源。

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