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A Nanoscale Shape-Discovery Framework Supporting Systematic Investigations of Shape-Dependent Biological Effects and Immunomodulation

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.
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https://hal-cnrs.archives-ouvertes.fr/hal-03677214
Contributor : Colette ORANGE Connect in order to contact the contributor
Submitted on : Tuesday, November 15, 2022 - 12:03:10 PM
Last modification on : Tuesday, November 22, 2022 - 5:32:24 PM

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Wei Zhang, Hender Lopez, Luca Boselli, Paolo Bigini, Andre Perez-Potti, et al.. A Nanoscale Shape-Discovery Framework Supporting Systematic Investigations of Shape-Dependent Biological Effects and Immunomodulation. ACS Nano, 2022, 16 (1), pp.1547-1559. ⟨10.1021/acsnano.1c10074⟩. ⟨hal-03677214⟩

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