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.


A study of the role of divalent cations in the stability of smooth LPS in outer membrane models

Abstract: The Outer Membrane (OM) is found in bacteria which cause plague, cholera & Legionnaire’s disease. It is important as; a barrier to antibiotics & the site of human-bacteria interaction. However bacteria are too small to allow us to do precise measurements of the structure and dynamics of this critical interface. Using neutrons as our eyes we have recently investigated OM models which imitate many aspects of the natural OM. This includes its structure where the outer surface is dominated by a molecule called lipopolysaccharide (LPS). However the model is unstable if we use the very large versions of LPS found in some bacteria. This project aims to understand this by varying the ions that are known to stabilise the OM. In this way we seek to understand what maintains the structure of the natural OM and thus improve our future models.

Principal Investigator: Professor Jeremy Lakey [Deactivated] [Deactivated]
Experimenter: Dr Nicolò Paracini
Experimenter: Dr Luke Clifton
Experimenter: Dr Martynas Gavutis

DOI: 10.5286/ISIS.E.RB1610418

ISIS Experiment Number: RB1610418

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.79112402 INTER 02 May 2019 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 Jeremy Lakey [Deactivated] [Deactivated] et al; (2016): A study of the role of divalent cations in the stability of smooth LPS in outer membrane models, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1610418

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



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