ISIS Neutron and Muon Source Data Journal

Adsorption of Therapeutic Monoclonal Antibodies at the Air/liquid Interface by NR

Abstract: The air/water interface works as the simplest model for screening protein adsorption. Many previous studies have been made to examine protein adsorption at this interface. However, relatively few studies have been made using neutron reflection, but yet it is the only technique that can reveal the adsorbed amount and layer thickness from which information about conformational orientation, volume fraction, deformation and possible unfolding could be inferred. It is thus the best technique to help understand why adsorption could lead to structural damage thereby undermining bioactivity. In this work, we propose to follow the dynamic adsorption of 3 model antibodies with controlled sequential modifications. The data will help us understand how sequential modifications affect the dynamic packing of the surface layers and the subsequent implications to structural instability.

Principal Investigator: Professor Jian Lu
Experimenter: Mr Haoning Gong
Experimenter: Mr Sean Ruane
Experimenter: Dr Lisa Pan
Experimenter: Dr Chris van der Walle
Experimenter: Dr Zongyi Li
Local Contact: Dr Mario Campana

DOI: 10.5286/ISIS.E.RB1720225

ISIS Experiment Number: RB1720225

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 Jian Lu et al; (2017): Adsorption of Therapeutic Monoclonal Antibodies at the Air/liquid Interface by NR, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1720225

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