ISIS Neutron and Muon Source Data Journal

NR study of the interaction between model membrane and lipid nanoparticles (LNPs) for gene delivery

Abstract: LNP systems have played a critical role in the positive outcome of the COVID-19 vaccines. However, finding the optimised LNP formulations remains a significant challenge. It has been recognised that there is no universal solution. LNPs are internalized by cells through endocytosis and the subsequent endosomal escape process releases the payloads. Thus, high gene transfection and expression result from either a high LNP intake or an efficient gene release process in the cells, or both. These two processes are both related to the interaction between the LNPs with lipid membranes, either the cytomembrane or the inner membrane of the endosomes. Thus we propose the first study of how our LNPs and lipid membranes interact via a supported lipid bilayer model by neutron reflection. 3 days of Inter time is requested.

Principal Investigator: Professor Jian Lu
Experimenter: Dr Zongyi Li
Local Contact: Dr Mario Campana
Experimenter: Mr Peter Hollowell
Experimenter: Mr kangcheng shen
Experimenter: Dr Xuzhi Hu

DOI: 10.5286/ISIS.E.RB2210307

ISIS Experiment Number: RB2210307

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
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Data Citation

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

For Example:
Professor Jian Lu et al; (2022): NR study of the interaction between model membrane and lipid nanoparticles (LNPs) for gene delivery, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2210307

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