ISIS Neutron and Muon Source Data Journal

This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.


SANS study of pH-induced structural alteration of lipid nanoparticles for gene delivery

Abstract: We have studied lipid nanoparticles (LNPs) prepared from an ionisable cationic lipid, a helper lipid, a cholesterol and a poly(ethylene glycol) (PEG) lipid via a microfluidic system. This 4-component system mimics the LNP nanocarriers used in the delivery of COVID-19 vaccines by Pfizer and Moderna. Our recent studies have revealed vast variations in the transfection and expression efficiency of LNPs in both in vitro and in vivo experiments from substituting some ingredients with their analogs. Furthermore, pH environment also has a huge impact on their nanostructures. As LNPs are internalized via emdosomal cycling during which pH gradually becomes acidic, we request 3 days of SANS2D to undertake the proposed work and cover the widest Q range for better structural resolution,

Principal Investigator: Professor Jian Lu
Experimenter: Miss Lin Zhang
Local Contact: Dr Gregory Smith
Experimenter: Miss Tianhao Ge
Experimenter: Dr Zongyi Li
Experimenter: Mr Zeyuan ZHUANG
Experimenter: Dr Xuzhi Hu

DOI: 10.5286/ISIS.E.RB2210276

ISIS Experiment Number: RB2210276

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2210276-1 LARMOR 20 July 2025 Download
10.5286/ISIS.E.RB2210276-2 LARMOR 25 July 2025 Download

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 Jian Lu et al; (2022): SANS study of pH-induced structural alteration of lipid nanoparticles for gene delivery, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2210276

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



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