Suppr超能文献

针对Vero E6细胞中抑制严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的潜在小干扰RNA(siRNA)的计算机预测及实验评估

In silico prediction and experimental evaluation of potential siRNAs against SARS-CoV-2 inhibition in Vero E6 cells.

作者信息

Sartaj Sohrab Sayed, Aly El-Kafrawy Sherif, Ibraheem Azhar Esam

机构信息

Special Infectious Agents Unit, King Fahd Medical Research Center, King Abdulaziz University, Post Box, No-80216, Jeddah 21589, Saudi Arabia.

Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.

出版信息

J King Saud Univ Sci. 2022 Jun;34(4):102049. doi: 10.1016/j.jksus.2022.102049. Epub 2022 Apr 26.

Abstract

OBJECTIVE

The acute cases of pneumonia (COVID-19) were first reported from China in December 2019, and the pathogen was identified as SARS-CoV-2. Currently, many vaccines have been developed against this virus by using multiple genes, applying different platforms, and used for the vaccinations of the human population. Spike protein genes play an important role in host cell attachment and viral entry and have been extensively used for the development of vaccine and antiviral therapeutics. Short interfering RNA is also known as silencing RNA and contribute a significant role to regulate the expression of a specific gene. By using this technology, virus inhibition has been demonstrated against many viral diseases.

METHODS

In this work, we have reported the Insilico prediction, designing, and experimental validation of siRNAs antiviral potency against SARS-CoV-2-S-RBD. The siDirect 2.0 was selected for siRNAs prediction, and secondary structure was predicted by RNAfold while the HNADOCK was used for molecular docking analysis and specific binding of siRNAs to the selected target. We have used and evaluated four siRNAs for cellular toxicity and determination of antiviral efficiency based on the Ct value of q-real-time PCR in Vero E6 cells.

RESULTS

Based on the experimental evaluation and analysis of results from generated data, we observed that there is no cytotoxicity for any tested siRNAs in Vero E6 cells. Total four siRNA were filtered out from twenty-one siRNAs following the strict selection and scoring criteria. The better antiviral efficiency was observed in 3rd siRNAs based on the Ct value of q-real-time PCR. The results that emerged from this study encouraged us to validate the efficiency of these siRNAs in multiple cells by using alone and in a combination of two or more siRNAs to inhibit the SARS-CoV-2 proliferation.

CONCLUSION

The Insilico prediction, molecular docking analysis provided the selection of better siRNAs. Based on the experimental evaluation only 3rd siRNA was found to be more effective than others and showed better antiviral efficiency. These siRNAs should also be evaluated in other cell lines either separately or in combination against SARS-CoV-2 to determine their antiviral efficiency.

摘要

目的

2019年12月中国首次报告了新冠肺炎急性病例,病原体被鉴定为严重急性呼吸综合征冠状病毒2(SARS-CoV-2)。目前,已通过使用多种基因、应用不同平台开发了多种针对该病毒的疫苗,并用于人群接种。刺突蛋白基因在宿主细胞附着和病毒进入中起重要作用,已被广泛用于疫苗和抗病毒治疗药物的开发。短干扰RNA也被称为沉默RNA,在调节特定基因的表达中发挥重要作用。通过使用这项技术,已证明对许多病毒性疾病具有病毒抑制作用。

方法

在本研究中,我们报告了针对SARS-CoV-2刺突蛋白受体结合域(S-RBD)的小干扰RNA(siRNA)抗病毒效力的计算机预测、设计及实验验证。选择siDirect 2.0进行siRNA预测,通过RNAfold预测二级结构,同时使用同源性对接(HNADOCK)进行分子对接分析以及siRNA与选定靶点的特异性结合。我们基于Vero E6细胞中定量实时聚合酶链反应(q-实时PCR)的Ct值,使用并评估了四种siRNA的细胞毒性及抗病毒效率测定。

结果

基于对生成数据的实验评估和分析,我们观察到在Vero E6细胞中,任何测试的siRNA均无细胞毒性。按照严格的筛选和评分标准,从21种siRNA中筛选出了总共4种siRNA。基于q-实时PCR的Ct值,在第3种siRNA中观察到了更好的抗病毒效率。本研究得出的结果鼓励我们通过单独使用以及两种或更多种siRNA组合使用来抑制SARS-CoV-2增殖,从而在多种细胞中验证这些siRNA的效率。

结论

计算机预测、分子对接分析提供了更好的siRNA选择。基于实验评估,仅发现第3种siRNA比其他siRNA更有效,且显示出更好的抗病毒效率。这些siRNA还应在其他细胞系中单独或联合针对SARS-CoV-2进行评估,以确定它们的抗病毒效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6214/9040457/a6afa0546200/gr1_lrg.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验