ISIS Neutron and Muon Source Data Journal

Quantifying antibiotic resistance using bacterial model membranes

Abstract: The Gram negative bacterial outer membrane protects the bacterium from toxins such as antibiotics and is partially responsible for the rapid rise in antibiotic resistance in these bacteria. Its outer surface is formed by a lipid, lipopolysaccharide (LPS) which is unique to Gram negative bacteria. We are developing models of these bacterial outer membranes and have successfully recreated their interaction with the antibiotic Polymyxin B which acts directly upon LPS . We can now observe the effects of natural LPS modifications which occur in resistant bacteria and here we wish to study the effect of reduction in LPS negative charge. We will observe how it reduces antibiotic binding and also its cost to the viability of the bacterium, in terms of membrane stability. This will enable the design of better antibiotics effective against antibiotic resistant bacteria.

Principal Investigator: Professor Jeremy Lakey [Deactivated] [Deactivated]
Experimenter: Dr Nicolò Paracini
Experimenter: Dr Maxmilian Skoda
Experimenter: Dr Luke Clifton

DOI: 10.5286/ISIS.E.RB1820409

ISIS Experiment Number: RB1820409

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; (2018): Quantifying antibiotic resistance using bacterial model membranes , STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1820409

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