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- PublicationComplex Nanostructures and Bio-Nanoscale Interactions: Well Defined Synthesis, Identification and Biological Effects(University College Dublin. School of Chemistry, 2022)In this thesis, a framework was proposed in chapter II, aiming to identify distinct shape populations and build a quantitative linkage of well-defined nanoscale shapes to biological impacts. This inductive nanoscale shape discovery and evaluation framework is biologically relevant, and we believe by utilizing machine learning it could benefit the field of shape dependent therapy. In chapter III, the shape dependent histone modifications were reported. As histone modifications are one of the crucial epigenetic regulators that control chromatin structure and gene transcription, shape dependent histone modifications indicate that some important cellular phenotypes differences induced by nanoscale shapes may be related to the histone modifications, which opens a new window for the investigation of nanoscale shape effects and nano therapy. In chapter IV, we proposed a method to modify the surface of the nanostructures by endogenous cellular processes and studies found that this re-engineered particle complex was able to transfer the loading genes to recipient cells, which indicates their potential to work as an efficient nucleic acid delivery machine.
- PublicationClassification and biological identity of complex nano shapesEverywhere in our surroundings we increasingly come in contact with nanostructures that have distinctive complex shape features on a scale comparable to the particle itself. Such shape ensembles can be made by modern nano-synthetic methods and many industrial processes. With the ever growing universe of nanoscale shapes, names such as “nanoflowers” and “nanostars” no longer precisely describe or characterise the distinct nature of the particles. Here we capture and digitise particle shape information on the relevant size scale and create a condensed representation in which the essential shape features can be captured, recognized and correlated. We find the natural emergence of intrinsic shape groups as well-defined ensemble distributions and show how these may be analyzed and interpreted to reveal novel aspects of our nanoscale shape environment. We show how these ideas may be applied to the interaction between the nanoscale-shape and the living universe and provide a conceptual framework for the study of nanoscale shape biological recognition and identity.
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