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.
An in vitro Gram-negative double bilayer envelope mimetic
Abstract: An attractive target for antimicrobial development is the bacterial cell envelope, with the mechanisms of its formation potentially holding the key to generating new antimicrobials. All Gram-negative bacteria possess two membranes that enclose the cell. Studying this double membrane system accurately within the laboratory has remained impossible with models only of individual membranes. Here, we aim to recreate the bacterial double membrane system on top of a solid sensor support giving us a unique platform to investigate its structure and function. Through this system we will be able to probe the fundamentals of its biochemistry, with pathways being studied in real time in a highly realistic setting for the first time. Such a system will provide a hugely powerful tool for understanding the fundamentals of membrane formation and potentially lead to the development of new antimicrobials.
Principal Investigator: Dr Tim Knowles
Experimenter: Miss Hannah Johnston
Experimenter: Dr David Hardy
Local Contact: Dr Luke Clifton
Experimenter: Miss Rachel Holyfield
Experimenter: Dr Stephen Hall
Experimenter: Mr William Chatterton
DOI: 10.5286/ISIS.E.RB2220703
ISIS Experiment Number: RB2220703
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.RB2220703-1 | OFFSPEC | 14 December 2025 | 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:
Dr Tim Knowles et al; (2022): An in vitro Gram-negative double bilayer envelope mimetic, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2220703
Data is released under the CC-BY-4.0 license.