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Exploring high aspect ratio gold nanotubes as cytosolic agents: structural engineering and uptake into mesothelioma cells - dataset

Ye, Sunjie and Azad, Arsalan A. and Chambers, Joseph E. and Beckett, Alison J. and Roach, Lucien and Moorcroft, Samuel C. T. and Aslam, Zabeada and Prior, Ian A. and Markham, Alexander F. and Coletta, Louise P. and Marciniak, Stefan J. and Evans, Stephen (2020) Exploring high aspect ratio gold nanotubes as cytosolic agents: structural engineering and uptake into mesothelioma cells - dataset. University of Leeds. [Dataset] https://doi.org/10.5518/879

Dataset description

The generation of effective and safe nanoagents for biological applications requires their physicochemical characteristics to be tunable, and their cellular interactions to be well characterized. Here, the controlled synthesis is developed for preparing high‐aspect ratio gold nanotubes (AuNTs) with tailorable wall thickness, microstructure, composition, and optical characteristics. The modulation of optical properties generates AuNTs with strong near infrared absorption. Surface modification enhances dispersibility of AuNTs in aqueous media and results in low cytotoxicity. The uptake and trafficking of these AuNTs by primary mesothelioma cells demonstrate their accumulation in a perinuclear distribution where they are confined initially in membrane‐bound vesicles from which they ultimately escape to the cytosol. This represents the first study of the cellular interactions of high‐aspect ratio 1D metal nanomaterials and will facilitate the rational design of plasmonic nanoconstructs as cytosolic nanoagents for potential diagnosis and therapeutic applications.

Subjects: F000 - Physical sciences > F300 - Physics
Divisions: Faculty of Engineering > School of Chemical and Process Engineering
Faculty of Mathematics and Physical Sciences > School of Physics and Astronomy
Related resources:
LocationType
https://doi.org/10.1002/smll.202003793Publication
http://eprints.whiterose.ac.uk/165600/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 30 Oct 2020 14:47
URI: http://archive.researchdata.leeds.ac.uk/id/eprint/765

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