摘要
To obtain reliable results in quantitative PCR （qPCR） reactions, an endogenous control （EC） gene is needed to correct for systematic variations. In this study, a TaqMan low density array was used to quantify the expression levels of microRNA （rniRNA） genes in in vivo fertilized, in vitro fertilized, parthenogenetic and somatic cell nuclear transfer blastocysts. The aim was to identify suitable EC genes for the qPCR analysis of rniRNAs in porcine blastocysts. The results showed that thirty-six miRNAs were commonly expressed in the four kinds of embryos and the expression levels of eleven miRNAs were similar in the different embryo types （P-value〉0.05）. These 11 miRNAs were selected as candidate EC genes for further analysis and, of these, miR-16 was identified as the most stable EC gene by the GeNorm （a tool based on a pair-wise comparison model that calculates the internal control genes stability measure and determines the most reliable pair of EC genes） and NorrnFinder （an excel plug-in that uses an ANOVA-based model to estimate intra- and inter- group variation to indicate the single most stable EC gene） programs. In addition, a cell number normalization method validated miR-16 as a suitable EC gene for use in future qPCR analysis of miRNAs in porcine blastocysts.
To obtain reliable results in quantitative PCR (qPCR) reactions, an endogenous control (EC) gene is needed to correct for systematic variations. In this study, a TaqMan low density array was used to quantify the expression levels of microRNA (miRNA) genes in in vivo fertilized, in vitro fertilized, parthenogenetic and somatic cell nuclear transfer blastocysts. The aim was to identify suitable EC genes for the qPCR analysis of miRNAs in porcine blastocysts. The results showed that thirty-six miRNAs were commonly expressed in the four kinds of embryos and the expression levels of eleven miRNAs were similar in the different embryo types (P-value>0.05). These 11 miRNAs were selected as candidate EC genes for further analysis and, of these, miR-16 was identified as the most stable EC gene by the GeNorm (a tool based on a pair-wise comparison model that calculates the internal control genes stability measure and determines the most reliable pair of EC genes) and NormFinder (an excel plug-in that uses an ANOVA-based model to estimate intra-and inter-group variation to indicate the single most stable EC gene) programs. In addition, a cell number normalization method validated miR-16 as a suitable EC gene for use in future qPCR analysis of miRNAs in porcine blastocysts.
基金
supported by the National Basic Research Program of China (Grant Nos. 2006CB102106 and 2007CB947402)
the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (Grant No. 30621064)
