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Identification of circRNA and mRNA expression profiles and functional networks of vascular tissue in lipopolysaccharide-induced sepsis.
Journal of Cellular and Molecular Medicine ( IF 5.3 ) Pub Date : 2020-05-25 , DOI: 10.1111/jcmm.15424
Mu-Wen Nie 1 , Ye-Chen Han 1 , Zhu-Jun Shen 1 , Hong-Zhi Xie 1
Affiliation  

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.

中文翻译:

脂多糖诱导的脓毒症中circRNA和mRNA表达谱以及血管组织功能网络的鉴定。

脓毒症是重症监护病房中最常见的死亡原因。这项研究调查了脓毒症中主动脉组织的环状RNA(circRNA)和mRNA表达谱以及功能网络。我们建立了脂多糖(LPS)诱导的大鼠败血症模型。在主动脉组织上进行了高通量测序,以鉴定差异表达(DE)circRNA和mRNA,并通过实时定量聚合酶链反应(RT-qPCR)进行了验证。进行了生物信息学分析,并构建了编码和非编码共表达(CNC)和竞争性内源RNA(ceRNA)调控网络来研究其机制。总共鉴定出373个上调的circRNA和428个下调的circRNA,以及2063个上调和2903个下调的mRNA。基因本体论(GO)和《京都基因与基因组百科全书》(KEGG)对mRNA的分析表明,下调的基因主要在能量产生过程中富集。用七个DE circRNA构建了CNC和ceRNA调控网络。CNC靶基因功能富集分析的结果表明circRNA在炎症反应中的重要作用。ceRNA网络还突出显示了钙信号传导途径的显着富集。在脓毒症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。CNC靶基因功能富集分析的结果表明circRNA在炎症反应中的重要作用。ceRNA网络还突出显示了钙信号传导途径的显着富集。在脓毒症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。CNC靶基因功能富集分析的结果表明circRNA在炎症反应中的重要作用。ceRNA网络还突出显示了钙信号传导途径的显着富集。在脓毒症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。
更新日期:2020-07-10
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