首页> 外文期刊>Journal of cellular and molecular medicine. >Identification of circRNA and mRNA expression profiles and functional networks of vascular tissue in lipopolysaccharide‐induced sepsis
【24h】

Identification of circRNA and mRNA expression profiles and functional networks of vascular tissue in lipopolysaccharide‐induced sepsis

机译:肝脏组织中血管组织中血管组织的鉴定鉴定脂多糖诱导的败血症

获取原文
           

摘要

Sepsis is the most common cause of death in intensive care units. This study investigated the circular RNA (circRNA) and mRNA expression profiles and functional networks of the aortic tissue in sepsis. We established a lipopolysaccharide (LPS)‐induced rat sepsis model. High‐throughput sequencing was performed on the aorta tissue to identify differentially expressed (DE) circRNAs and mRNAs, which were validated by real‐time quantitative polymerase chain reaction (RT‐qPCR). Bioinformatic analysis was carried out and coding and non‐coding co‐expression (CNC) and competing endogenous RNA (ceRNA) regulatory networks were constructed to investigate the mechanisms. In total, 373 up‐regulated and 428 down‐regulated circRNAs and 2063 up‐regulated and 2903 down‐regulated mRNAs were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of mRNAs showed that the down‐regulated genes were mainly enriched in the process of energy generation. CNC and ceRNA regulatory networks were constructed with seven DE circRNAs. The results of functional enrichment analysis of CNC target genes revealed the important role of circRNAs in inflammatory response. The ceRNA network also highlighted the significant enrichment in calcium signalling pathway. Significant alterations in circRNAs and mRNAs were observed in the aortic tissue of septic rats. In addition, CNC and ceRNA networks were established.
机译:败血症是重症监护单位死亡最常见的原因。该研究研究了败血症中主动脉组织的圆形RNA(CircrNA)和mRNA表达谱和功能网络。我们建立了一种脂多糖(LPS)诱导的大鼠败血症模型。在主动脉组织上进行高通量测序以鉴定通过实时定量聚合酶链反应(RT-QPCR)验证的差异表达(DE)CircrNA和MRNA。进行生物信息分析,构建了编码和非编码共表达(CNC)和竞争内源性RNA(CNC)调节网络以研究机制。共有373个上调和428个下调的Circrnas和2063个上调和2903个下调的MRNA。基因本体(GO)和京都基因和基因组(KEGG)的京都群(KEGG)分析显示,下调基因主要富集在能量产生过程中。 CNC和Cerna监管网络建造有七个De Circrnas。 CNC靶基因功能性富集分析结果显示Circrnas在炎症反应中的重要作用。 Cerna网络还突出了钙信号通路中的显着富集。在化粪池大鼠的主动脉组织中观察到CircrNA和MRNA的显着改变。此外,建立了CNC和CERNA网络。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号