ISIS Neutron and Muon Source Data Journal

Optimising Cell-derived Lipid Bilayers For Future Biosensors

Abstract: We have developed a novel class of biological sensors for high throughput studies, using cell-derived vesicles that contain all the proteins naturally found in cell membranes, to create cell-free native membrane models on top of active transducers. The vesicles fuse on top of the desired substrates forming a bilayer. By using hydrated polymer-based transducers, instead of solid supports one can achieve a fluid environment close to the physiologically relevant environment, thus. facilitating mobility of the transmembrane proteins while interrogating with electrochemical and optical approaches. Our electrochemical and optical data shows that there are differences between the types of membrane structures that form on these sensors and within the scope of this work we intend to use neutron reflectivity to elucidate these difference and help the optimisation of our sensor design.

Principal Investigator: Dr Rob Barker
Local Contact: Dr Mario Campana

DOI: 10.5286/ISIS.E.RB2010717

ISIS Experiment Number: RB2010717

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
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Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Dr Rob Barker et al; (2020): Optimising Cell-derived Lipid Bilayers For Future Biosensors, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2010717

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