ISIS Neutron and Muon Source Data Journal

Molecular Architecture of Lipid Nanoparticles using SANS

Abstract: Lipid nanoparticles (LNPs) are composed of a mixture of a cationic ionisable lipid, distearoylphosphatidylcholine (DSPC), cholesterol, and a PEG-lipid. Significantly, LNPs are increasingly being investigated as a means to deliver RNA, partially because of their use as the vehicle used to deliver the mRNA in the COVID-19 vaccines produced by Moderna and Pfizer/Biontech [1]. While lipid nanoparticles (LNPs) are approved in use for RNA delivery, the speed of their development and subsequent regulatory approval has meant that there has been no time to optimise the properties of the LNPs. To better understand how the LNPs deliver nucleic acid, it is important to determine the detailed molecular architecture of the LNPs to understand the interactions of the lipids comprising the LNPs with their nucleic acid cargo, this will be achieved here using contrast variation SANS.

Principal Investigator: Professor Jayne Lawrence
Local Contact: Dr Najet Mahmoudi
Experimenter: Dr Vahid Heravi Shargh
Experimenter: Miss Lauren Daniels
Experimenter: Dr Alice Spadea

DOI: 10.5286/ISIS.E.RB2210180

ISIS Experiment Number: RB2210180

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
Select the data format above to find out more about it.

Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Professor Jayne Lawrence et al; (2022): Molecular Architecture of Lipid Nanoparticles using SANS, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2210180

Data is released under the CC-BY-4.0 license.