Date: June 16, 2022
Time: 7:00am (PDT), 10:00am (EDT), 4:00pm (CEST)
Lipid-based nanoparticles (LNPs) are effective non-viral vectors for delivering messenger RNA products (mRNA), most notably used for vaccine production against the recent SARS-CoV-2 pandemic. In this webinar, we will demonstrate a robust and high-throughput kit-based analysis of nucleic acids extracted from mRNA-LNP samples subjected to a series of stressing conditions. This method provides an amplification free workflow for characterization of the main mRNA product encapsulated by LNPs and RNA fragmentations present as impurities. The sample preparation steps for optimal RNA extraction, separation, detection and quantification by using capillary gel electrophoresis with laser-induced fluorescence detection (CGE-LIF) on the multi-capillary BioPhase 8800 system and using the RNA 9000 Purity & Integrity kit will be discussed. Additionally, software for automated and highly reproducible size determination of nucleic acid products released from the LNPs will be shown. Finally, the accuracy of this method, the limit of quantitation (LOQ) and the limit of detection (LOD) will be highlighted for these mRNA-LNPs samples. The results indicates that this robust method can be used to monitor the stability of the mRNA in these mRNA-LNP based drugs in different storage conditions during the manufacturing process.
Learning Objectives
- How to perform robust, high-throughput RNA stability and nucleic acid fragmentation profiling of large sample collections to assess LNP formulations
- Fully automated software for quantification of the main RNA product, impurities and commonly observed higher molecular weight species in mRNA-LNP final products
- Obtain an excellent sensitivity with an LOD of 97.7 ng/mL and a LOQ of 390.6 ng/mL obtained for RNA products encapsulated by an MC3-based LNP formulation
- Robust automatic size determination for single-stranded RNA with using the BioPhase software
Webinars will be available for unlimited on-demand viewing after live event.