Choosing the correct diagnostic method is crucial for providing accurate and reliable results in virus detection. This presents a particular challenge for RNA-viruses, such as SARS-CoV-2, as it is necessary to first perform reverse transcription (RT), which can significantly impact the results of the analysis. The gold standard for diagnosing SARS-CoV-2 is the method of RT quantitative polymerase chain reaction (RT-qPCR) due to its exceptional accuracy, ease of implementation, and sensitivity in detecting and quantifying viral RNA. Despite these advantages, very low virus concentrations can lead to false-negative results. On the other hand, the method of RT digital polymerase chain reaction (RT-dPCR) allows for absolute quantification and detection of the virus at very low concentrations, which is crucial in the early stages of infection.
In this master's thesis, we performed analyses using RT-qPCR and RT-dPCR methods on two types of samples: (1) synthetic segments of SARS-CoV-2 virus containing characteristic virus sequences, and (2) genomic RNA (gRNA) isolated from the SARS-CoV-2 grown on cell cultures. For this purpose, we used various commercially available single-step and two-step RT kits. The aim was to compare their effectiveness and accuracy in detecting SARS-CoV-2 specific nucleic acid sequences. As positive control for RT, we used gene for the luciferase enzyme (LUC), which is commonly used as a control for the presence of RT inhibitors in the reaction.
We found that single-step kits are a better choice for both methods, both for segments and for gRNA, as we obtained comparable values for selected viral targets. With certain two-step kits, we obtained higher values for RNA segments compared to one-step kits, but at the same time, we observed high variability among the targets. The LUC control proved to be an inadequate choice, because of the resulting high and thus incomparable Cq values for both methods. We demonstrated that both methods are effective in detecting and quantifying viral RNA, however, there was significant variability in the results (Cq values) of the individual RT-qPCR methods, indicating that Cq values cannot be directly used for diagnostic purposes. We also demonstrated that the method of analysis and type of used kit, significantly influence the reliability and repeatability of the results, which is crucial for the effective diagnosis of the SARS-CoV-2 virus.
|