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.


Unravelling LNP endosomal escape

Abstract: LNP are versatile drug and gene delivery particles. Examples of successful LNP formulation are the Comirnaty and mRNA-1273 Covid?19 vaccines. Even though these are successful, cellular internalisation remains to be the man limiting factor on their therapeutic efficiency forcing high concentration doses with unwanted side effects. In-depth investigations using endosomal membrane mimics are limited due to the constrains of these systems. To meet this need, we developed an assay that monitors single LNP binding events to a supported lipid bilayer (SLB) designed to mimic the endosomal membrane. The SLB is formed on top of a nanoporous substrate that creates edges and compartments that facilitate molecular incorporation beneath the SLB. Neutron reflection will be used to demonstrate that the cationic lipid in LNP fuse with the membrane and that the cargo is delivered beneath the membrane.

Principal Investigator: Professor Marité Cárdenas Gómez
Local Contact: Dr Luke Clifton
Experimenter: Professor Fredrik Höök
Experimenter: Dr Nicolò Paracini
Experimenter: Dr Marianna Yanez Arteta
Experimenter: Dr Nima Aliakbarinodehi
Experimenter: Dr Petteri Parkkila

DOI: 10.5286/ISIS.E.RB2210162

ISIS Experiment Number: RB2210162

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2210162-1 INTER 18 May 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 Marité Cárdenas Gómez et al; (2022): Unravelling LNP endosomal escape, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2210162

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



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