Department of Biology, Chemistry and Pharmacy, Free University, Berlin, Germany.
Anal Biochem. 2011 Oct 15;417(2):233-41. doi: 10.1016/j.ab.2011.06.009. Epub 2011 Jun 13.
To obtain accurate results in miRNA expression changes between different sample sets using real-time quantitative polymerase chain reaction (RT-qPCR) analyses, normalization to reference genes that are stably expressed across the sample sets is generally used. A literature search of miRNA expression studies in renal cell carcinoma (RCC) proved that non-miRNAs such as small RNAs or mRNAs have most frequently been used without preceding validation of their suitability. In this study, the most stably expressed miRNAs were ascertained from microarray-based data of miRNA expression in nonmalignant and malignant samples from clear cell RCC and from corresponding distant RCC metastases using the geNorm and NormFinder algorithms. Validation experiments with RT-qPCR were performed for the four best-ranked miRNAs (miR-28, miR-103, miR-106a, miR-151) together with the small RNU6B, RNU44, and RNU48 mostly described in literature. miR-28, miR-103, miR-106a, and RNU48 were proved as the most stably expressed genes. miR-28 is recommended as normalizer if only a single reference gene can be used, while the combinations of miR-28 and miR-103 or of miR-28, miR-103, and miR-106a, respectively, are preferred. RNU6B most frequently used as normalizer in miRNA expression studies should be abandoned in order to avoid misleading results.
为了在使用实时定量聚合酶链反应 (RT-qPCR) 分析的不同样本集中获得 miRNA 表达变化的准确结果,通常使用稳定表达于整个样本集的参考基因进行归一化。对肾细胞癌 (RCC) 中 miRNA 表达研究的文献检索表明,最常使用非 miRNA(如小 RNA 或 mRNA),而没有事先验证其适用性。在这项研究中,使用 geNorm 和 NormFinder 算法,从透明细胞 RCC 的非恶性和恶性样本以及相应的远处 RCC 转移的 miRNA 表达的基于微阵列的数据中确定了最稳定表达的 miRNA。使用 RT-qPCR 进行了验证实验,用于四个排名最高的 miRNA(miR-28、miR-103、miR-106a、miR-151)以及文献中最常描述的小 RNA RNU6B、RNU44 和 RNU48。miR-28、miR-103、miR-106a 和 RNU48 被证明是最稳定表达的基因。如果只能使用单个参考基因,则推荐 miR-28 作为归一化因子,而 miR-28 和 miR-103 或 miR-28、miR-103 和 miR-106a 的组合则分别是首选。在 miRNA 表达研究中最常被用作归一化因子的 RNU6B 应被放弃,以避免产生误导性结果。