Department of Chemical & Biological Engineering, University of Sheffield, Sheffield S1 3JD, U.K.
ThermoFisher Scientific GmbH, Dreieich, Germany, DE 63303.
Anal Chem. 2022 May 24;94(20):7339-7349. doi: 10.1021/acs.analchem.2c00765. Epub 2022 May 12.
Large RNA including mRNA (mRNA) has emerged as an important new class of therapeutics. Recently, this has been demonstrated by two highly efficacious vaccines based on mRNA sequences encoding for a modified version of the SARS-CoV-2 spike protein. There is currently significant demand for the development of new and improved analytical methods for the characterization of large RNA including mRNA therapeutics. In this study, we have developed an automated, high-throughput workflow for the rapid characterization and direct sequence mapping of large RNA and mRNA therapeutics. Partial RNase digestions using RNase T1 immobilized on magnetic particles were performed in conjunction with high-resolution liquid chromatography-mass spectrometry analysis. Sequence mapping was performed using automated oligoribonucleotide annotation and identifications based on MS/MS spectra. Using this approach, a >80% sequence of coverage of a range of large RNAs and mRNA therapeutics including the SARS-CoV-2 spike protein was obtained in a single analysis. The analytical workflow, including automated sample preparation, can be completed within 90 min. The ability to rapidly identify, characterize, and sequence map large mRNA therapeutics with high sequence coverage provides important information for identity testing, sequence validation, and impurity analysis.
大型 RNA 包括 mRNA(信使 RNA)已成为一类重要的新型治疗药物。最近,两种基于编码 SARS-CoV-2 刺突蛋白改良版本的 mRNA 序列的高效疫苗证明了这一点。目前,人们对开发用于表征大型 RNA 包括 mRNA 治疗药物的新的和改进的分析方法有很大的需求。在这项研究中,我们开发了一种自动化、高通量的工作流程,用于快速表征和直接对大型 RNA 和 mRNA 治疗药物进行测序。部分 RNase 消化是在固定在磁性颗粒上的 RNase T1 与高分辨率液相色谱-质谱分析相结合的情况下进行的。序列映射是使用基于 MS/MS 谱的自动寡核苷酸注释和鉴定来完成的。使用这种方法,在单次分析中可以获得一系列大型 RNA 和 mRNA 治疗药物(包括 SARS-CoV-2 刺突蛋白)的 >80%序列覆盖率。包括自动样品制备在内的分析工作流程可以在 90 分钟内完成。能够快速识别、表征和测序高序列覆盖率的大型 mRNA 治疗药物,为身份测试、序列验证和杂质分析提供了重要信息。