Prediction of Site Directed miRNAs as Key Players of Transcriptional Regulators Against Influenza C Virus Infection Through Computational Approaches.

Prediction of Site Directed miRNAs as Key Players of Transcriptional Regulators Against Influenza C Virus Infection Through Computational Approaches.
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DOI:
10.3389/fmolb.2022.866072
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发表时间:
2022
影响因子:
5
通讯作者:
--
中科院分区:
生物学3区
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MicroRNAs(MiRNAs)是一种小的非编码RNA,在基因表达、细胞分化和抗病毒感染的免疫中发挥关键作用。在本研究中,我们使用计算工具RNA22、RNA杂交和Miranda来预测microRNA-mRNA结合位点,以寻找可能在宿主对C病毒感染的反应中发挥作用的microRNAs。这项计算研究筛选了以下四个miRNAs:hsa-mir-3155a、hsa-mir-6796-5p、hsa-mir-3194-3p和hsa-mir-4673,进一步研究了它们与流感C基因组的结合位点预测。此外,RNA22、RNA杂交和Miranda还预测了蛋白质编码区的多个位点(HeF、CM2、M1-M2、NP、NS1-NS2、NSF、P3、PB1和PB2)。此外,通过分子对接分析预测了所有miRNAs和HeF的三维结构,并验证了它们的结合潜力。比较结果表明,在所有蛋白质中,在整个分析过程中,Hef作为潜在的(人类来源的)microRNAs靶标的流行率更高。靶点保守结果表明,三个不同毒株的核心核苷酸序列负责miRNA与不同病毒株的潜在结合。使用这些microRNAs的进一步步骤可能会在抗击流感病毒感染方面带来新的治疗见解。
MicroRNAs (miRNAs) are small non-coding RNAs that play critical roles in gene expression, cell differentiation, and immunity against viral infections. In this study, we have used the computational tools, RNA22, RNAhybrid, and miRanda, to predict the microRNA-mRNA binding sites to find the putative microRNAs playing role in the host response to influenza C virus infection. This computational research screened the following four miRNAs: hsa-mir-3155a, hsa-mir-6796-5p, hsa-mir-3194-3p and hsa-mir-4673, which were further investigated for binding site prediction to the influenza C genome. Moreover, multiple sites in protein-coding region (HEF, CM2, M1-M2, NP, NS1- NS2, NSF, P3, PB1 and PB2) were predicted by RNA22, RNAhybrid and miRanda. Furthermore, 3D structures of all miRNAs and HEF were predicted and checked for their binding potential through molecular docking analysis. The comparative results showed that among all proteins, HEF is higher in prevalence throughout the analysis as a potential (human-derived) microRNAs target. The target-site conservation results showed that core nucleotide sequence in three different strains is responsible for potential miRNA binding to different viral strains. Further steps to use these microRNAs may lead to new therapeutic insights on fighting influenza virus infection.
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