ISIS Neutron and Muon Source Data Journal

Smart dendrimersomes for biosensing and triggered delivery

Abstract: Dendrimersomes are an exciting new class of vesicles, comprising bilayers of dendrimer molecules that can be engineered to have sensitivity to e.g. changes in pH and enzymes. However, in order to find applications in triggered drug delivery and biosensing, their fine structure and changes to self-assembly must first be characterised. We propose a series of experiments to characterise the fine structure of a model dendrimersome and its response to changes in ionic strength and dilution. We then use contrast matching to investigate the effect of acidic pH and the enzyme sphingomyelinase on dendrimersomes engineered to respond to these two triggers respectively. Dendrimersomes sensitive to these triggers have huge potential in stimuli-responsive treatment of cancer, Alzheimer’s disease and atherosclerosis.This experiment will be the first SANS study of dendrimersomes.

Principal Investigator: Dr Margaret Holme
Experimenter: Dr Cecile Dreiss
Experimenter: Professor Molly Stevens
Experimenter: Dr Michael Thomas
Local Contact: Dr James Doutch
Experimenter: Dr Shaodong Zhang
Experimenter: Mr Michael Potter

DOI: 10.5286/ISIS.E.RB1610368

ISIS Experiment Number: RB1610368

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 Margaret Holme et al; (2016): Smart dendrimersomes for biosensing and triggered delivery, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1610368

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