Hurteau Gregory J, Spivack Simon D, Brock Graham J
Ordway Research Institute, Albany, New York 12208, USA.
Cell Cycle. 2006 Sep;5(17):1951-6. doi: 10.4161/cc.5.17.3133. Epub 2006 Sep 1.
Using an anchored oligo(dT) based RT-PCR approach we quantified endogenous expression of ten microRNAs in six cell lines. This identified a miRNA, miR-200c, with variable expression, ranging from undetectable in MDA-MB-231 and HT1080 to highly expressed in MCF7. The variable expression provided a model system to investigate endogenous interactions between miRNAs and their computationally predicted targets. As the expression level of the predicted mRNA targets and miR-200c in these lines should have an inverse relationship if cleavage or degradation results from the interaction. To select targets for analysis we used Affymetrix expression data and computational prediction programs. Affymetrix data indicated approximately 3500 candidate mRNAs, absent in MCF7 and present in MDA-MB-231 or HT1080. These targets were cross-referenced against approximately 600 computationally predicted miR-200c targets, identifying twenty potential mRNAs. Expression analysis by qRT-PCR of these targets and an additional ten mRNAs (selected using the prediction program ranking alone) revealed four mRNAs, BIN1, TCF8, RND3 and LHFP with an inverse relationship to miR-200c. Of the remainder, the majority did not appear to be degraded (and may be translational targets) or were undetectable in the cell lines examined. Finally, inhibition of miR-200c using an anti-miRNA 2'-0-Methyl oligonucleotide (AMO) resulted in an increase in expression of one of the targets, the transcription factor TCF8. These results indicate that a single miRNA could directly affect the mRNA levels of an important transcription factor, albeit in a manner specific to cell lines. Further investigation is required to confirm this in vivo and determine any translational effects.
我们采用基于锚定寡聚(dT)的逆转录聚合酶链反应(RT-PCR)方法,对六种细胞系中十种微小RNA(miRNA)的内源性表达进行了定量分析。结果鉴定出一种miRNA,即miR-200c,其表达具有变异性,在MDA-MB-231和HT1080细胞系中无法检测到,而在MCF7细胞系中高表达。这种变异性表达提供了一个模型系统,用于研究miRNA与其通过计算预测的靶标之间的内源性相互作用。因为如果相互作用导致切割或降解,这些细胞系中预测的mRNA靶标和miR-200c的表达水平应该呈负相关。为了选择用于分析的靶标,我们使用了Affymetrix表达数据和计算预测程序。Affymetrix数据表明,在MCF7细胞系中不存在、而在MDA-MB-231或HT1080细胞系中存在的候选mRNA约有3500种。将这些靶标与约600个通过计算预测的miR-200c靶标进行交叉比对,鉴定出20种潜在的mRNA。通过实时定量逆转录聚合酶链反应(qRT-PCR)对这些靶标以及另外十种mRNA(仅使用预测程序排名选择)进行表达分析,结果显示四种mRNA,即BIN1、TCF8、RND3和LHFP与miR-200c呈负相关。在其余的mRNA中,大多数似乎未被降解(可能是翻译靶标),或者在所检测的细胞系中无法检测到。最后,使用抗miRNA 2'-O-甲基寡核苷酸(AMO)抑制miR-200c,导致其中一个靶标,即转录因子TCF8的表达增加。这些结果表明,单个miRNA可能直接影响一个重要转录因子的mRNA水平,尽管这种影响具有细胞系特异性。需要进一步研究以在体内证实这一点,并确定任何翻译效应。