Author ORCID Identifier
https://orcid.org/0000-0002-0568-6588,
https://orcid.org/0000-0003-2938-4063,
https://orcid.org/0000-0003-1083-6234
Document Type
Article
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
1.4 CHEMICAL SCIENCES
Abstract
Since it is now possible to make, in a controlled fashion, an almost unlimited variety of nanostructure shapes, it is of increasing interest to understand the forms of biological control that nanoscale shape allows. However, a priori rational investigation of such a vast universe of shapes appears to present intractable fundamental and practical challenges. This has limited the useful systematic investigation of their biological interactions and the development of innovative nanoscale shape-dependent therapies. Here, we introduce a concept of biologically relevant inductive nanoscale shape discovery and evaluation that is ideally suited to, and will ultimately become, a vehicle for machine learning discovery. Combining the reproducibility and tunability of microfluidic flow nanochemistry syntheses, quantitative computational shape analysis, and iterative feedback from biological responses in vitro and in vivo, we show that these challenges can be mastered, allowing shape biology to be explored within accepted scientific and biomedical research paradigms. Early applications identify significant forms of shape-induced biological and adjuvant-like immunological control.
DOI
https://doi.org/10.1021/acsnano.1c10074
Recommended Citation
Wei Zhang, Hender Lopez, Luca Boselli, Paolo Bigini, André Perez-Potti, Zengchun Xie, Valentina Castagnola, Qi Cai, Camila P. Silveira, Joao M. de Araujo, Laura Talamini, Nicolò Panini, Giuseppe Ristagno, Martina B. Violatto, Stéphanie Devineau, Marco P. Monopoli, Mario Salmona, Valeria A. Giannone, Sandra Lara, Kenneth A. Dawson, and Yan Yan ACS Nano 2022 16 (1), 1547-1559 DOI: 10.1021/acsnano.1c10074
Funder
Science Foundation Ireland, Guangdong Provincial Education Department Key Laboratory of Nano-Immunoregulation Tumor Microenvironment, Irish Research Council, Chinese Scholarship Council,
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Included in
Biological and Chemical Physics Commons, Physical Chemistry Commons, Statistical, Nonlinear, and Soft Matter Physics Commons
Publication Details
ACS Nano - journal
ACS Publications - Open Access
https://pubs.acs.org/doi/10.1021/acsnano.1c10074?ref=pdf