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.
Introducing the O-antigen in Bacterial Outer Membrane in vitro Models Pt. II – The Langmuir approach
Abstract: The Gram negative bacterial outer membrane protects the bacterium from external toxins such as antibiotics. This is partially responsible for Gram negative bacteria becoming the greatest emerging source of antibiotic resistance. We are developing models of these bacterial outer membranes and have successfully recreated the characteristic lipid asymmetry (with lipopolysaccharide (LPS) on the outer leaflet and phospholipids on the inner) and also the water filled periplasm. In order to fully recreate the membranes we will need to incorporate more complex LPS versions to mimic pathogenic bacteria. We will incorporate LPS containing one or two O antigens into the final model at different densities to determine who much it increases the bilayer thickness. In future experimental programmes we aim to increase the LPS length to investigate how very long LPS behave.
Principal Investigator: Professor Jeremy Lakey [Deactivated] [Deactivated]
Experimenter: Dr Martynas Gavutis
Experimenter: Dr Maxmilian Skoda
Experimenter: Dr Luke Clifton
Experimenter: Dr Nicoḷ Paracini
DOI: 10.5286/ISIS.E.RB1720352
ISIS Experiment Number: RB1720352
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.87841871 | SURF | 20 December 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:
Professor Jeremy Lakey [Deactivated] [Deactivated] et al; (2017): Introducing the O-antigen in Bacterial Outer Membrane in vitro Models Pt. II – The Langmuir approach , STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1720352
Data is released under the CC-BY-4.0 license.