Sood Pranidhi, Krek Azra, Zavolan Mihaela, Macino Giuseppe, Rajewsky Nikolaus
Center for Comparative Functional Genomics, Department of Biology, New York University, 100 Washington Square East, New York, NY 10003, USA.
Proc Natl Acad Sci U S A. 2006 Feb 21;103(8):2746-51. doi: 10.1073/pnas.0511045103. Epub 2006 Feb 13.
Although it is known that the human genome contains hundreds of microRNA (miRNA) genes and that each miRNA can regulate a large number of mRNA targets, the overall effect of miRNAs on mRNA tissue profiles has not been systematically elucidated. Here, we show that predicted human mRNA targets of several highly tissue-specific miRNAs are typically expressed in the same tissue as the miRNA but at significantly lower levels than in tissues where the miRNA is not present. Conversely, highly expressed genes are often enriched in mRNAs that do not have the recognition motifs for the miRNAs expressed in these tissues. Together, our data support the hypothesis that miRNA expression broadly contributes to tissue specificity of mRNA expression in many human tissues. Based on these insights, we apply a computational tool to directly correlate 3' UTR motifs with changes in mRNA levels upon miRNA overexpression or knockdown. We show that this tool can identify functionally important 3' UTR motifs without cross-species comparison.
尽管已知人类基因组包含数百个微小RNA(miRNA)基因,且每个miRNA可调控大量的mRNA靶标,但miRNA对mRNA组织谱的总体影响尚未得到系统阐明。在此,我们表明,几种高度组织特异性miRNA的预测人类mRNA靶标通常与该miRNA在同一组织中表达,但表达水平明显低于不存在该miRNA的组织。相反,高表达基因往往富集于在这些组织中表达的miRNA没有识别基序的mRNA中。总之,我们的数据支持这样一种假说,即miRNA表达在很大程度上促成了许多人类组织中mRNA表达的组织特异性。基于这些见解,我们应用一种计算工具将3'非翻译区(UTR)基序与miRNA过表达或敲低后mRNA水平的变化直接关联起来。我们表明,该工具无需进行跨物种比较就能识别功能重要的3'UTR基序。