| Literature DB >> 32202961 |
Elena Castellanos-Rizaldos1, Christopher R Brown1, Sean Dennin1, Joohwan Kim1, Swati Gupta1, Diana Najarian1, Yongli Gu1, Krishna Aluri1, Jennifer Enders1, Kirk Brown1, Yuanxin Xu1.
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.Entities:
Keywords: RT-qPCR; pharmacodynamics; pharmacokinetics; small interfering RNA
Year: 2020 PMID: 32202961 DOI: 10.1089/nat.2019.0840
Source DB: PubMed Journal: Nucleic Acid Ther ISSN: 2159-3337 Impact factor: 5.486