Currently, many PCR arrays are commercially available for the study of gene expression modifications involved in hundreds of molecular pathways.
Reverse transcription-quantitative polymerase chain reaction (RT-qPCR)-based methods has emerged as the “gold standard” method for a rapid and robust analysis of gene expression. The study of gene expression profile of cancer cells has become an essential tool to understand the biological alterations involved in disease development, to individuate new potential markers, to predict clinical outcome, to create personalized pharmacological therapies for patients, and to investigate the molecular effects of drug exposure with the aim of improving treatment efficacy. Results: The results showed a gene expression profile compatible with both biological and gene expression data already reported in literature.Ĭonclusion: Importantly, the assay allowed the monitoring of additional and not reported gene regulations, indicating that this custom-made RT-qPCR array is a cheap, robust, and rapid tool for the study of drug-induced effects in human biological models. To validate the RT-qPCR array, the authors investigated changes of the gene expression profile of HeLa cells treated with two well-characterized antiproliferative molecules such as cisplatin (CDDP) and sodium butyrate (NaBu). Methods: The authors describe a RT-qPCR array that exploits SYBR Green dye-based detection to perform reliable gene expression analysis on 41 genes involved in several pathways linked to DNA damage response, cell cycle progression, cellular senescence, and programmed cell death. Aim: Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is still the “gold standard” for quantitative analysis of mRNA and the study of differentially expressed genes.
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