RT-qPCR Methods to Support Pharmacokinetics and Drug Mechanism of Action to Advance Development of RNAi Therapeutics
Elena Castellanos-Rizaldos, Christopher R. Brown, Sean Dennin, Joo‐Hwan Kim, Swati Gupta, Diana Najarian, Yongli Gu, Krishna Aluri, Jennifer Enders, Kirk Brown, Yuanxin Xu
Abstract
The goal of this study was to develop a reverse transcription quantitative polymerase chain reaction (RT-qPCR) method for the accurate quantification of chemically modified small interfering RNA (siRNA) including but not restricted to thermally destabilizing modifications such as glycol nucleic acid (GNA). RT-qPCR was found to be superior to mass spectrometry-based siRNA detection in terms of sensitivity and throughput. However, mass spectrometry is still the preferred method when specific metabolite detection is required and is also insensitive to siRNA chemical modifications such as GNA. The RT-qPCR approach can be optimized to take chemical modifications into account and works robustly in different matrices without optimization, unlike mass spectrometry. RT-qPCR and mass spectrometry both have their strengths and weaknesses for the detection of siRNA and must be used appropriately depending on the questions at hand. Considerations such as desired throughput, assay sensitivity, and metabolite identification must be weighed when choosing which methodology to apply.