OBJECTIVE: Based on the detection results of expression profiling chip, multiple reference genes were screened for quantitative detection of genes with different expression abundances in the liver tissue of Mus musculus.
METHODS: The expression profiling chip technology was used to complete the detection of the expression profile of mouse liver tissue; the genes were divided into 3 groups according to the gene expression abundance, and the candidate internal reference genes were further screened by the coefficient of variation (CV) group; The internal reference genes were determined by real-time quantitative polymerase chain reaction (qPCR) and geNorm software.
RESULTS: The expression profiling chip successfully collected more than 60,000 transcript expression data in mouse liver tissues, and divided them into three groups: low, medium and high. Finally, six reference genes with low expression of Casp2 and Lrrc14, medium expression of Nrd1 and Trpc4ap, and high expression of Atp5a1 and Clu were screened.
Conclusion: The six reference genes screened based on the expression profile chip data can be applied to qPCR technology to accurately quantify the expression levels of genes with different expression abundances in the liver tissue transcriptome of Mus musculus.