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Use of high-throughput RT-qPCR to assess modulations of gene expression profiles related to genomic stability and interactions by cadmium

机译:使用高通量RT-qPCR评估与镉的基因组稳定性和相互作用有关的基因表达谱的调控

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Predictive test systems to assess the mode of action of chemical carcinogens are urgently required. Within the present study, we applied the Fluidigm dynamic array on the BioMark (TM) HD System for quantitative high-throughput RT-qPCR analysis of 95 genes and 96 samples in parallel, selecting genes crucial for maintaining genomic stability, including stress response as well as DNA repair, cell cycle control, apoptosis and mitotic signaling. The specificity of each individually designed sequence-specific primer pair and their respective target amplicons were evaluated via melting curve analysis as part of qPCR and size verification via agarose gel electrophoresis. For each gene, calibration curves displayed high efficiencies and correlation coefficients in the identified linear dynamic range as well as low intra-assay variations. Data were processed via Fluidigm real-time PCR analysis and GenEx software, and results were depicted as relative gene expression according to the Delta Delta C (q) method. Subsequently, gene expression analyses were conducted in cadmium-treated adenocarcinoma A549 and epithelial bronchial BEAS-2B cells. They revealed distinct dose- and time-dependent and also cell-type-specific gene expression patterns, including the induction of genes coding for metallothioneins, the oxidative stress response, cell cycle control, mitotic signaling and apoptosis. Interestingly, while genes coding for the DNA damage response were induced, distinct DNA repair genes were down-regulated at the transcriptional level. Thus, this approach provided a comprehensive overview on the interaction by cadmium with distinct signaling pathways, also reflecting molecular modes of action in cadmium-induced carcinogenicity. Therefore, the test system appears to be a promising tool for toxicological risk assessment.
机译:迫切需要用于评估化学致癌物作用方式的预测性测试系统。在本研究中,我们在BioMark HD系统上应用了Fluidigm动态阵列,对95个基因和96个样品进行了并行的定量高通量RT-qPCR分析,选择了对维持基因组稳定性(包括应激反应)至关重要的基因作为DNA修复,细胞周期控制,细胞凋亡和有丝分裂信号转导。作为qPCR的一部分,通过解链曲线分析评估每个单独设计的序列特异性引物对及其各自的靶扩增子的特异性,并通过琼脂糖凝胶电泳进行大小验证。对于每个基因,校准曲线在已确定的线性动态范围内显示出高效率和相关系数,并且在批内显示低变异。数据通过Fluidigm实时PCR分析和GenEx软件处理,结果根据Delta Delta C(q)方法描述为相对基因表达。随后,在镉治疗的腺癌A549和上皮支气管BEAS-2B细胞中进行了基因表达分析。他们揭示了不同的剂量和时间依赖性以及细胞类型特异性基因表达模式,包括诱导编码金属硫蛋白的基因,氧化应激反应,细胞周期控制,有丝分裂信号传导和细胞凋亡。有趣的是,虽然诱导了编码DNA损伤反应的基因,但不同的DNA修复基因在转录水平上却被下调。因此,该方法提供了关于镉与独特信号通路相互作用的全面概述,也反映了镉诱导的致癌性的分子作用方式。因此,测试系统似乎是进行毒理学风险评估的有前途的工具。

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