Department of Zoology, College of Life Sciences, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
Cells. 2019 Jul 30;8(8):791. doi: 10.3390/cells8080791.
microRNAs (miRNAs) exert their functions by repressing the expression of their target genes, but most miRNA target genes are unknown, and the degree to which a miRNA differentially inhibits the expression of its targets is underappreciated. We selected human miR-1, miR-122, and miR-124 as representatives to investigate the reliability of miRNA target predictions and examine how miRNAs suppress their targets. We constructed miRNA target gene reporter libraries based on prediction programs TargetScan, miRanda, and PicTar, and performed large-scale reporter assays to directly evaluate whether and how strongly a predicted target gene is repressed by its miRNA. We then performed statistical analyses to examine parameters that contributed to the miRNA inhibition of target genes. We found that the three programs have approximately 72-85% success rates in predicting genuine targets and that the miRNA inhibition of different targets varies in extent. We also identified parameters that could predict the degrees of miRNA repression, and further showed that differential miR-124 repression might contribute to differential gene expression in vivo. Our studies systematically investigated hundreds of miRNA target genes, shed light on factors influencing miRNA functions, and suggested a new mechanism by which differential target repression by miRNAs regulates endogenous gene expression.
微小 RNA(miRNAs)通过抑制靶基因的表达来发挥作用,但大多数 miRNA 靶基因是未知的,miRNA 对其靶基因的差异抑制程度还未被充分认识。我们选择人 miR-1、miR-122 和 miR-124 作为代表,研究 miRNA 靶基因预测的可靠性,并探讨 miRNA 如何抑制其靶基因。我们基于预测程序 TargetScan、miRanda 和 PicTar 构建了 miRNA 靶基因报告基因文库,并进行了大规模的报告基因检测,直接评估预测的靶基因是否以及被其 miRNA 强烈抑制。然后,我们进行了统计分析,以检验影响 miRNA 抑制靶基因的参数。我们发现这三个程序在预测真正的靶基因方面的成功率约为 72-85%,并且不同靶基因的 miRNA 抑制程度存在差异。我们还确定了可预测 miRNA 抑制程度的参数,并进一步表明,miR-124 的差异抑制可能有助于体内差异基因表达。我们的研究系统地研究了数百个 miRNA 靶基因,阐明了影响 miRNA 功能的因素,并提出了一种新的机制,即 miRNA 通过差异靶基因抑制来调节内源性基因表达。