Detection of phenol contamination in RNA samples and its impact on qRT-PCR results.

Residual phenol, carried over from RNA purification, can alter RNA concentration measurements and is assumed to inhibit PCR. Here, we demonstrate that Impurities A260 values of spectral content profiling (SCP) UV/Vis measurements correlated with phenol concentration, whereas absorbance ratios of classical UV/Vis systems failed to reliably detect phenol in RNA samples. Phenol contamination led to over- or underestimation of RNA concentration on UV/Vis systems, whereas it had no influence on fluorometry quantification. Wrong RNA concentration results led to altered template input in qRT-PCR and consequently caused quantification cycle (Cq) shifts, although ≤ 0.01% phenol had no direct influence.

Ultraviolet C radiation influences the robustness of RNA integrity measurement.

The analytical and clinical validity of analyses of RNA samples destined for clinical diagnosis and therapeutic management is directly impacted by RNA quality. RNA is affected by heat, enzymatic degradation, and Ultraviolet (UV) light. RNA from three eukaryotic cell lines was degraded by heat, RNase, or UV light. RNA integrity values obtained with the benchmark Agilent Bioanalyzer 2100 system were compared with those from the more recent QIAxcel Advanced system. The application of this novel method has allowed us to unravel differences between RNA biophysical and biochemical degradation modes. Agilent RNA integrity number (RIN) and QIAxcel RIS were comparable in heat-degraded and RNase III-degraded RNA. Agilent RIN and QIAxcel RIS were comparable at a RIN decision level of 7 in UV-degraded RNA but not overall. The QIAxcel RIS method was more precise than Agilent RIN for RIN<8, while the inverse was true for RIN≥8. Greater degradation of mRNA and rRNA in UV-damaged samples hampered the Agilent RIN calculation algorithm. Overall, RIS was more robust than RIN for assessing RNA integrity. The ΔΔCt-values for heat- and UV-degraded RNA samples showed slightly higher correlation with RIS than with RIN. RNA integrity can be used to categorize RNA samples for suitability for downstream gene expression analyses, independently of the RNA degradation mechanism. The new method QIAxcel is more robust and therefore allows more accurate categorization of compromised RNA samples.