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Large-Scale Screens of miRNA-mRNA Interactions Unveiled That the 3′UTR of a Gene Is Targeted by Multiple miRNAs

机译:大规模筛选的miRNA-mRNA相互作用揭示了一个基因的3UTR被多个miRNA靶向

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摘要

Animal microRNA (miRNA) target prediction is still a challenge, although many prediction programs have been exploited. MiRNAs exert their function through partially binding the messenger RNAs (mRNAs; likely at 3′ untranslated regions [3′UTRs]), which makes it possible to detect the miRNA-mRNA interactions in vitro by co-transfection of miRNA and a luciferase reporter gene containing the target mRNA fragment into mammalian cells under a dual-luciferase assay system. Here, we constructed a human miRNA expression library and used a dual-luciferase assay system to perform large-scale screens of interactions between miRNAs and the 3′UTRs of seven genes, which included more than 3,000 interactions with triplicate experiments for each interaction. The screening results showed that the 3′UTR of one gene can be targeted by multiple miRNAs. Among the prediction algorithms, a Bayesian phylogenetic miRNA target identification algorithm and a support vector machine (SVM) presented a relatively better performance (27% for EIMMo and 24.7% for miRDB) against the average precision (17.3%) of the nine prediction programs used here. Additionally, we noticed that a relatively high conservation level was shown at the miRNA 3′ end targeted regions, as well as the 5′ end (seed region) binding sites.
机译:尽管已经开发了许多预测程序,但动物microRNA(miRNA)目标预测仍然是一个挑战。 MiRNA通过部分结合信使RNA(mRNA;可能位于3'非翻译区[3'UTR])发挥其功能,这使得通过miRNA和荧光素酶报道基因的共转染可以在体外检测miRNA-mRNA的相互作用。在双重萤光素酶测定系统中,将含有靶mRNA片段的目标mRNA片段导入哺乳动物细胞。在这里,我们构建了一个人类miRNA表达文库,并使用双荧光素酶测定系统对miRNA和七个基因的3'UTR之间的相互作用进行了大规模筛选,其中包括3,000多次相互作用,每种相互作用进行三次重复实验。筛选结果表明,一个基因的3'UTR可被多种miRNA靶向。在预测算法中,相对于所使用的九种预测程序的平均精度(17.3%),贝叶斯系统发生miRNA目标识别算法和支持向量机(SVM)的性能相对更好(对于EMIMo为27%,对于miRDB为24.7%)这里。另外,我们注意到在miRNA 3'末端靶向区域以及5'末端(种子区域)结合位点显示出较高的保守水平。

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