ISIS Neutron and Muon Source Data Journal

Dynamics of amyloid protein fibril elongation using isotope-labelled SANS

Abstract: This proposal combines small-angle neutron scattering with novel labelling strategies to investigate “amyloid” protein fibrils. Variations in packing and in the dynamics of elongation and breakage underpin phenomena ranging from non-genetic heredity in yeast, to diseases such as Alzheimer’s, BSE and CJD. Most solution methods to monitor growth dynamics only give information on the overall % of material transformed from non-fibrillar to fibrillar forms. They cannot determine length distribution or linear growth rates, but instead convolute the two; in other words, they cannot distinguish a few long fibrils each growing quickly, from many short fibrils each growing more slowly. We will determine both fibril lengths and linear growth rates using a novel SANS approach with labelled ends growing on contrast-matched "seed" fibrils

Principal Investigator: Dr Adam Squires
Experimenter: Dr Trevor Forsyth
Experimenter: Mr Ben Eves
Experimenter: Dr Ann Terry
Experimenter: Dr James Doutch
Experimenter: Dr Michael Haertlein

DOI: 10.5286/ISIS.E.RB1720292

ISIS Experiment Number: RB1720292

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:
Dr Adam Squires et al; (2018): Dynamics of amyloid protein fibril elongation using isotope-labelled SANS, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1720292

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