Understanding the influence of cholesterol on the ability of ionisable cationic lipid to interact with nucleic acid in lipid nanoparticles
Lipid nanoparticles (LNPs) are increasingly being used to deliver nucleic acids and have reached world-wide prominence as the delivery vehicle for the COVID-19 vaccines produced by Moderna and Pfizer/Biontech. Yet few, if any, studies have examined the driving force for LNP self-assembly and, in particular, the structures formed as a result of the interaction of the nucleic acid cargo with the lipids - generally MC3 and cholesterol - which are believed to comprise the interior of the LNPs. Using the convenient platform of a Langmuir trough, preliminary surface pressure-area isotherms have shown strong effects of model cationic ionisable lipid monolayers without/with cholesterol and both without/with nucleic acid in the subphase. The present study will exploit neutron reflectivity measurements on FIGARO to understand the effect of the helper lipid cholesterol on the ability of the cationic ionisable MC3 lipid to interact with nucleic acid polyA. Feeding into the EU InnovaXN_25_MSCA_COFUND programme between AstraZeneca, University of Manchester and the ILL, the overarching goal of this project is to aid the development of improved lipid nanoparticles for future delivery systems.
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The recommended format for citing this dataset in a research publication is in the following format:
M Jayne Lawrence; Richard A. Campbell; GUTFREUND Philipp; JACKMAN Mark; Armando Maestro; MICCIULLA Samantha; SAERBECK Thomas; WINNALL Samuel; YAN Yixuan and Marianna Yanez Arteta. (2021). Understanding the influence of cholesterol on the ability of ionisable cationic lipid to interact with nucleic acid in lipid nanoparticles. Institut Laue-Langevin (ILL) doi:10.5291/ILL-DATA.9-13-1016
This data is not yet public
This data is not yet public