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.
Probing the influence of RNA cargos and polymer ratios on the structure of mRNA vaccines based on lipid-polymer hybrid nanoparticles
Abstract: RNA therapeutics are expected to revolutionize medicine. However, how to safely deliver RNA into the correct cells still a hindrance. Lipid-polymer hybrid nanoparticles (LPNs), composed of ionizable cationic lipid and a polymer, can deliver RNA to target tissues, but little is known about the structure-activity relationship of these LPNs. We have designed monodisperse mRNA-loaded LPNs using the microfluidics manufacturing method that displays very high in vitro and in vivo transfection efficiency and immunogenicity in initial vaccination studies in mice. CryoTEM imaging suggests that these LPNs show structural characteristics that depend on: (i) the lipid:polymer ratio, (ii) the lipid:RNA ratio. At the same time, based on the SAXS and SANS data we acquired, we found differences in the high-q regions, which may indicate a difference in probed structure due to the different contrasts that lipid and RNA have with x-rays and neutrons. For an optimised RNA-loaded LPN formulation, we aim to reveal the structure and component distribution of LPNs for a range of formulations (lipid:polymer ratio, lipid:RNA ratio and type of RNA cargo) in conditions relevant to the extracellular and endosomal compartment (physiological and acidic pH).
Principal Investigator: Mr Zhenning Shi
Experimenter: Professor Camilla Foged
Local Contact: Dr Najet Mahmoudi
Experimenter: Dr Federica Sebastiani
Experimenter: Dr Jennifer Gilbert
DOI: 10.5286/ISIS.E.RB2420404
ISIS Experiment Number: RB2420404
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.RB2420404-1 | ZOOM | 21 December 2027 | 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:
Mr Zhenning Shi et al; (2024): Probing the influence of RNA cargos and polymer ratios on the structure of mRNA vaccines based on lipid-polymer hybrid nanoparticles, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2420404
Data is released under the CC-BY-4.0 license.