Magdeburg Centre for Systems Biology and Institute for Biology, Otto-von-Guericke Universität, Magdeburg, Germany.
Present address: Institut für Medizinische Mikrobiologie und Krankenhaushygiene, Otto-von-Guericke Universität, Magdeburg, Germany.
BMC Biotechnol. 2021 Apr 14;21(1):29. doi: 10.1186/s12896-021-00689-4.
Quantitative analysis of differential gene expression is of central importance in molecular life sciences. The Gene eXpression Profiling technology (GeXP) relies on multiplex RT-PCR and subsequent capillary electrophoretic separation of the amplification products and allows to quantify the transcripts of at least 35 genes with a single reaction and one dye.
We provide a kinetic model of primer binding and PCR product formation as the rational basis for taking and evaluating calibration curves. The calibration procedure and the model predictions were validated with the help of a purposefully designed data processing workflow supported by easy-to-use Perl scripts for calibration, data evaluation, and quality control. We further demonstrate the robustness and linearity of quantification of individual transcripts at variable relative abundance of other co-amplified transcripts in a complex mixture of RNAs isolated from differentiating Physarum polycephalum plasmodial cells.
We conclude that GeXP analysis is a robust, sensitive, and useful method when the transcripts of tens to few hundred genes are to be precisely quantified in a high number of samples.
差异基因表达的定量分析在分子生命科学中具有核心重要性。Gene eXpression Profiling 技术(GeXP)依赖于多重 RT-PCR 以及随后对扩增产物的毛细管电泳分离,允许在单个反应和一种染料中定量至少 35 个基因的转录物。
我们提供了一个引物结合和 PCR 产物形成的动力学模型,作为获取和评估校准曲线的合理基础。校准过程和模型预测得到了一个专门设计的数据处理工作流程的帮助,该流程由易于使用的 Perl 脚本支持,用于校准、数据评估和质量控制。我们还进一步证明了在从分化 Physarum polycephalum 原生质体细胞中分离的复杂 RNA 混合物中,当精确量化几十个到几百个基因的转录物时,单个转录物的定量具有稳健性和线性。
我们得出结论,当需要在大量样本中精确量化数十到数百个基因的转录物时,GeXP 分析是一种稳健、敏感和有用的方法。