Zeka Fjoralba, Mestdagh Pieter, Vandesompele Jo
Center for Medical Genetics, Ghent University, Ghent, Belgium.
Methods Mol Biol. 2015;1296:85-102. doi: 10.1007/978-1-4939-2547-6_9.
MicroRNAs (miRNAs) are small non-coding RNA molecules that negatively regulate messenger RNA (mRNA) translation into protein. MiRNAs play a key role in gene expression regulation, and their involvement in disease biology is well documented. This has fueled the development of numerous tools for the quantification of miRNA expression levels. These tools are based on three technologies: (microarray) probe hybridization, RNA sequencing, and reverse transcription quantitative polymerase chain reaction (RT-qPCR). In this chapter, we describe a quantification system based on RT-qPCR technology, which is currently considered as the most sensitive, flexible, and accurate method for quantification of not only miRNA but also RNA expression in general. To this purpose, we have divided the protocol in three sections: reverse transcription (RT) reaction, optional preamplification (PA), and finally qPCR. Three quality-control (QC) steps are implemented in this workflow for assessment of RNA extraction efficiency, sample purity (e.g., absence of inhibitors), and inter-run variations, by examining the detection level of different spike-in synthetic miRNAs. We conclude by demonstrating raw data preprocessing and normalization using expression data obtained from high-throughput miRNA profiling of human RNA samples.
微小RNA(miRNA)是一类小的非编码RNA分子,可负向调节信使RNA(mRNA)翻译成蛋白质。miRNA在基因表达调控中起关键作用,并且它们参与疾病生物学过程已有充分记录。这推动了众多用于定量miRNA表达水平的工具的开发。这些工具基于三种技术:(微阵列)探针杂交、RNA测序和逆转录定量聚合酶链反应(RT-qPCR)。在本章中,我们描述了一种基于RT-qPCR技术的定量系统,该技术目前被认为是不仅用于定量miRNA而且用于一般RNA表达的最灵敏、灵活和准确的方法。为此,我们将实验方案分为三个部分:逆转录(RT)反应、可选的预扩增(PA),最后是qPCR。在此工作流程中实施了三个质量控制(QC)步骤,通过检查不同的加标合成miRNA的检测水平来评估RNA提取效率、样品纯度(例如,无抑制剂)和批间差异。我们通过使用从人类RNA样品的高通量miRNA谱分析获得的表达数据进行原始数据预处理和归一化来得出结论。