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在生命科学研究中,随着实时定量PCR(Real-time PCR)成为高通量快速、定量检测mRNA、micRNA等的常用技术,选择合适的数据归一化处理基准,对提高结果分析的准确性尤为重要.新近研究显示应根据不同研究目的或研究对象选用合适的Real-time PCR数据归一化方法,如单个内参基因归一化、多个内参基因归一化、micRNA归一化以及体外人工合成基因归一化等.就近年实时定量PCR的数据归一化方法进展做一综述.
In life science research, as real-time PCR becomes a commonly used technique for rapid and quantitative detection of mRNAs and micRNAs, selecting appropriate data normalization benchmarks will improve the accuracy of results analysis Particularly recent studies have shown that appropriate Real-time PCR data normalization methods should be selected for different research purposes or subjects such as normalization of a single internal reference gene, normalization of multiple internal reference genes, normalization of micRNA, and in vitro manual Normalization of synthetic genes, etc. In this paper, the progress of data normalization methods in real-time quantitative PCR in recent years is reviewed.