Functional Genomics Unit, Council of Scientific Industrial Research-Institute of Genomics and Integrative Biology, Delhi, India.
PLoS One. 2012;7(8):e43243. doi: 10.1371/journal.pone.0043243. Epub 2012 Aug 27.
MicroRNAs (miRNAs) are short regulatory RNA molecules that interfere with the expression of target mRNA by binding to complementary sequences. Currently, the most common method for identification of targets of miRNAs is computational prediction based on free energy change calculations, target site accessibility and conservation. Such algorithms predict hundreds of targets for each miRNA, necessitating tedious experimentation to identify the few functional targets. Here we explore the utility of miRNA-proteomics as an approach to identifying functional miRNA targets. We used Stable Isotope Labeling by amino acids in cell culture (SILAC) based proteomics to detect differences in protein expression induced by the over-expression of miR-34a and miR-29a. Over-expression of miR-29a, a miRNA expressed in the brain and in cells of the blood lineage, resulted in the differential expression of a set of proteins. Gene Ontology based classification showed that a significant sub-set of these targets, including Voltage Dependent Anion Channel 1 and 2 (VDAC1 and VDAC2) and ATP synthetase, were mitochondrial proteins involved in apoptosis. Using reporter assays, we established that miR-29a targets the 3' Untranslated Regions (3' UTR) of VDAC1 and VDAC2. However, due to the limited number of proteins identified using this approach and the inability to differentiate between primary and secondary effects we conclude that miRNA-proteomics is of limited utility as a high-throughput alternative for sensitive and unbiased miRNA target identification. However, this approach was valuable for rapid assessment of the impact of the miRNAs on the cellular proteome and its biological role in apoptosis.
MicroRNAs (miRNAs) 是短的调节 RNA 分子,通过与互补序列结合来干扰靶 mRNA 的表达。目前,识别 miRNA 靶标的最常见方法是基于自由能变化计算、靶位点可及性和保守性的计算预测。这些算法预测每个 miRNA 有数百个靶标,因此需要繁琐的实验来鉴定少数有功能的靶标。在这里,我们探讨了 miRNA 蛋白质组学作为鉴定功能性 miRNA 靶标的方法的效用。我们使用基于稳定同位素标记的细胞培养中的氨基酸 (SILAC) 蛋白质组学来检测 miR-34a 和 miR-29a 过表达诱导的蛋白质表达差异。miR-29a 在大脑和血液谱系细胞中表达的 miRNA 的过表达导致了一组蛋白质的差异表达。基于基因本体论的分类表明,这些靶标中有相当一部分,包括电压依赖性阴离子通道 1 和 2 (VDAC1 和 VDAC2) 和 ATP 合酶,是参与细胞凋亡的线粒体蛋白。使用报告基因检测,我们确定 miR-29a 靶向 VDAC1 和 VDAC2 的 3'非翻译区 (3'UTR)。然而,由于使用这种方法鉴定的蛋白质数量有限,并且无法区分主要和次要效应,我们得出结论,miRNA 蛋白质组学作为一种高通量替代方法,用于敏感和无偏的 miRNA 靶标识别的用途有限。然而,这种方法对于快速评估 miRNA 对细胞蛋白质组的影响及其在细胞凋亡中的生物学作用非常有价值。