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.
Domain patterning in bicontinuous cubic lipid phases
Abstract: Dynamic microdomains, resulting from lateral lipid inhomogeneity and patterning within biological membranes, have been implicated in a wide range of critical cellular processes ranging from cell death and disease mechanisms, to signalling. While there has been significant research into lateral phase separation in flat lamellar membranes, little is known on phase separation and patterning in curved lipid phases. Non-lamellar lipid phases are known to play important roles in-vivo and have attracted enormous interest as biocompatible scaffolds in applications form drug delivery to membrane protein crystallisation. Here we aim to locate preferential partitioning of high and low bending moduli liquid phases to the flat and curved (saddle) points within bicontinuous cubic phases respectively. This will be vital to unlocking our ability to exploit the biotechnical potential of these structures.
Principal Investigator: Dr Arwen Tyler
Experimenter: Professor John Seddon
Experimenter: Dr Nick Brooks
Local Contact: Dr Sarah Rogers
Experimenter: Dr Robert Law
Experimenter: Dr Oscar Ces
Experimenter: Dr Peixun Li
Experimenter: Dr Adam Squires
Experimenter: Mr Ben Eves
Experimenter: Miss Eleonore Mason
DOI: 10.5286/ISIS.E.RB1710375
ISIS Experiment Number: RB1710375
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.87761446 | SANS2D | 27 September 2020 | Download |
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 Arwen Tyler et al; (2017): Domain patterning in bicontinuous cubic lipid phases, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1710375
Data is released under the CC-BY-4.0 license.