Comparative analysis of putative novel microRNA expression profiles induced by enterovirus 71 and coxsackievirus A16 infections in human umbilical vein endothelial cells using high-throughput sequencing.

Comparative analysis of putative novel microRNA expression profiles induced by enterovirus 71 and coxsackievirus A16 infections in human umbilical vein endothelial cells using high-throughput sequencing.
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DOI:
10.1016/j.meegid.2019.06.007
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发表时间:
2019-09
期刊:
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
影响因子:
--
通讯作者:
Jie Song;Yajie Hu;Huiwen Zheng;Lei Guo;Xing Huang;Xi Jiang;Weiyu Li;Jiaqi Li;Zening Yang;S. Dong;Longding Liu
Jie Song;Yajie Hu;Huiwen Zheng;Lei Guo;Xing Huang;Xi Jiang;Weiyu Li;Jiaqi Li;Zening Yang;S. Dong;Longding Liu
中科院分区:
其他
文献类型:
--
作者:
Jie Song;Yajie Hu;Huiwen Zheng;Lei Guo;Xing Huang;Xi Jiang;Weiyu Li;Jiaqi Li;Zening Yang;S. Dong;Longding Liu

文献摘要

相似文献

手足口病(Hand,Foot and Mouth Disease,HFMD)主要由肠道病毒71型(HumanEnterovirus 71,EV 71)和柯萨奇病毒A16型(Coxsackievirus A16,CA 16)引起,在流行区交替或共同传播。虽然这两种病毒具有遗传同源性,但它们的临床表现存在一些差异。然而,这些差异背后的因素仍不清楚。本研究主要利用高通量测序技术研究EV 71和CA 16感染后人脐静脉内皮细胞(HUVECs)中新的miRNAs的变化及其作用。结果鉴定了247个推定的新的差异表达的miRNAs,其中只有11个miRNAs在EV 71和CA 16感染的样品之间呈现相反的趋势,并用于靶标预测。对预测的靶点进行基因本体(GO)和途径富集分析,显示了前15个重要的生物学过程、分子功能、细胞组分和途径。随后,构建了调控miRNA预测的靶标和miRNA-GO和miRNA-pathway网络,以进一步揭示感染过程中miRNAs的复杂调控机制。因此,我们的数据提供了有用的见解,将有助于阐明EV 71和CA 16感染后不同的宿主-病原体相互作用,并可能为这些感染提供新的治疗靶点。
Hand, foot and mouth disease (HFMD) is mainly caused by human enterovirus 71 (EV71) and coxsackievirus A16 (CA16), which circulate alternatively or together in epidemic areas. Although the two viruses exhibit genetic homology, their clinical manifestations have some discrepancies. However, the factors underlying these differences remain unclear. Herein, we mainly focused on the alterations and roles of putative novel miRNAs in human umbilical vein endothelial cells (HUVECs) following EV71 and CA16 infections using high-throughput sequencing. The results identified 247 putative novel, differentially expressed miRNAs, of which only 11 miRNAs presented an opposite trend between the EV71- and CA16-infected samples and were used for target prediction. Gene ontology (GO) and pathway enrichment analysis of the predicted targets displayed the top 15 significant biological processes, molecular functions, cell components and pathways. Subsequently, regulatory miRNA-predicted targets and miRNA-GO and miRNA-pathway networks were constructed to further reveal the complex regulatory mechanisms of the miRNAs during infection. Therefore, our data provide useful insights that will help elucidate the different host-pathogen interactions following EV71 and CA16 infections and may offer novel therapeutic targets for these infections.