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qRT-PCR requires reliable internal control genes stably expressed in different samples and experimental conditions. The stability of reference genes is rarely tested experimentally, especially in developing tissues given the singularity of these samples. Here we evaluated the suitability of a set of reference genes (Actb, Gapdh, Tbp, Pgk1 and Sdha) using samples from early mouse embryo tissues that are widely used in research (somites, prosencephalon and heart) at different developmental stages. The comparative ΔCq method and five software packages (NormFinder, geNorm, BestKeeper, DataAssist and RefFinder) were used to rank the most stable genes while GenEx and GeNorm programs determined the optimal total number of reference genes for a reliable normalization. The ranking of most reliable reference genes was different for each tissue evaluated: (1) in somite from embryos with 16-18 somite pairs stage, the combination of Pgk1 and Actb provided the best normalization and Actb also presented high stability levels at an earlier developmental stage; (2) Gapdh is the most stable gene in prosencephalon in the two developmental stages tested; and (3) in heart samples, Sdha, Gapdh and Actb were the best combination for qPCR normalization. The analysis of these three tissues simultaneously indicated the combination of Gapdh, Actb and Tbp as the most reliable internal control. This study highlights the importance of appropriate reference genes according to the cell type and/or tissue of interest. The data here described can be applied in future research using mouse embryos as a model for mammalian development.
Pubmed ID: 31167115
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Excel-based tool using pair-wise correlations for determination of stable housekeeping genes, differentially regulated target genes and sample integrity. It determines the best suited standards, out of ten candidates, and combines them into an index. The index can be compared with further ten target genes to decide, whether they are differentially expressed under an applied treatment. All data processing is based on crossing points.
View all literature mentionsSoftware for identifying the optimal normalization gene among a set of candidates. It ranks the set of candidate normalization genes according to their expression stability in a given sample set and given experimental design. It can analyze expression data obtained through any quantitative method e.g. real time RT-PCR and microarray based expression analysis. NormFinder.xla adds the NormFinder functionality directly to Excel. A version for R is also available.
View all literature mentionsSoftware to determine most stable reference (housekeeping) genes from set of tested candidate reference genes in given sample panel. From this, gene expression normalization factor can be calculated for each sample based geometric mean of user-defined number of reference genes.
View all literature mentionsData analysis tool that utilizes the Comparative CT (ddCT) method to rapidly and accurately quantitate relative gene expression across a large number of genes and samples. Raw input from plates or arrays can be analyzed according to user-determined settings.
View all literature mentionslaboratory mouse with name BALB/cAnNCrl from MGI.
View all literature mentions