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.


Towards a Supported Mammalian Membrane Mimic ? Evaluating Membrane Composition of Raft Forming Bilayers Using Selective Deuteration

Abstract: 'Raft' forming bilayers containing cholesterol are of interest as models for mammalian cell membranes. We have been studying the so called 'canonical raft mixture', which is a ternary mixture of POPC/Sphingomyelin/Cholesterol as floating bilayers formed by Langmuir Blodgett/Schaeffer transfer from monolayers. We have confirmed that we are able to form high coverage bilayers by NR, and that these show the expected phase separation by fluorescence microscopy. What is still unknown however is how well the initial composition of the monolayer is reflected in the final system i.e. whether all three components transfer equally. We propose to use selective deuteration to answer this question, by gradually increasing the level of deuteration in some of the components, and examining whether the SLD of the final films match their expected values.

Experimenter: Professor Jayne Lawrence
Local Contact: Dr Arwel Hughes

DOI: 10.5286/ISIS.E.RB2510693

ISIS Experiment Number: RB2510693

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2510693-1 OFFSPEC 30 May 2028 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 Jayne Lawrence et al; (2025): Towards a Supported Mammalian Membrane Mimic ? Evaluating Membrane Composition of Raft Forming Bilayers Using Selective Deuteration, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2510693

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



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