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.


Structure determination of complex, therapeutically relevant lipid nanoparticles for RNA delivery

Abstract: Lipid nanoparticles (LNPs) have evolved into smart multifunctional carriers for drug deliverymost notably in the thriving field of siRNA and mRNA therapeutics for treatment of diseases not curable today. Characterization of LNP bulk and in particular surface structure is of eminent importance to understand their interactions andtherapeutic function.The structure determination of complex lipid-based RNAnanoparticles is challenging due to their finite size, intrinsic disorder, hierarchical structureat different length scales, low lipid-RNA contrast and fast dynamics. We propose to use SANS and selective deuteration in combination with different solution isotopic contrasts is the only way to determine the location of the different compounds within this type of complex LPNs. New sophisticated modelling tools will be adapted and further developed to gain new insight in the structure.

Principal Investigator: Professor Tommy Nylander
Experimenter: Dr Jennifer Gilbert
Local Contact: Dr Najet Mahmoudi
Experimenter: Professor Jan Swenson

DOI: 10.5286/ISIS.E.RB1920532

ISIS Experiment Number: RB1920532

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB1920532-1 SANS2D 17 June 2024 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 Tommy Nylander et al; (2021): Structure determination of complex, therapeutically relevant lipid nanoparticles for RNA delivery, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1920532

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



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