Shinde Santosh P, Banerjee Amit Kumar, Arora Neelima, Murty U S N, Sripathi Venkateswara Rao, Pal-Bhadra Manika, Bhadra Utpal
Functional Genomics and Gene Silencing Group, Centre for Cellular and Molecular Biology, Hyderabad, India.
J Vector Borne Dis. 2015 Mar;52(1):11-22.
BACKGROUND & OBJECTIVES: Combating viral diseases has been a challenging task since time immemorial. Available molecular approaches are limited and not much effective for this daunting task. MicroRNA based therapies have shown promise in recent times. MicroRNAs are tiny non-coding RNAs that regulate translational repression of target mRNA in highly specific manner.
In this study, we have determined the target regions for human and viral microRNAs in the conserved genomic regions of selected viruses of Flaviviridae family using miRanda and performed a comparative target selectivity analysis among them.
Specific target regions were determined and they were compared extensively among themselves by exploring their position to determine the vicinity. Based on the multiplicity and cooperativity analysis, interaction maps were developed manually to represent the interactions between top-ranking miRNAs and genomes of the viruses considered in this study. Self-organizing map (SOM) was used to cluster the best-ranked microRNAs based on the vital physicochemical properties.
INTERPRETATION & CONCLUSION: This study will provide deep insight into the interrelation of the viral and human microRNAs interactions with the selected Flaviviridae genomes and will help to identify cross-species microRNA targets on the viral genome.
自古以来，对抗病毒性疾病一直是一项具有挑战性的任务。现有的分子方法有限，对于这项艰巨任务效果不佳。基于微小RNA的疗法近来已显示出前景。微小RNA是微小的非编码RNA，以高度特异性的方式调节靶mRNA的翻译抑制。
在本研究中，我们使用miRanda确定了黄病毒科选定病毒保守基因组区域中人类和病毒微小RNA的靶区域，并对它们进行了比较靶标选择性分析。
确定了特定的靶区域，并通过探索其位置以确定其邻近性，对它们进行了广泛的相互比较。基于多重性和协同性分析，手动绘制了相互作用图，以表示本研究中排名靠前的微小RNA与所考虑病毒基因组之间的相互作用。使用自组织映射（SOM）根据重要的物理化学性质对排名最佳的微小RNA进行聚类。
本研究将深入洞察病毒和人类微小RNA与选定的黄病毒科基因组之间相互作用的相互关系，并有助于识别病毒基因组上的跨物种微小RNA靶标。
