Nanomaterial Shape Influence on Cell Behavior

Abstract

Nanomaterials are proven to affect the biological activity of mammalian and microbial cells profoundly. Despite this fact, only surface chemistry, charge, and area are often linked to these phenomena. Moreover, most attention in this field is directed exclusively at nanomaterial cytotoxicity. At the same time, there is a large body of studies showing the influence of nanomaterials on cellular metabolism, proliferation, differentiation, reprogramming, gene transfer, and many other processes. Furthermore, it has been revealed that in all these cases, the shape of the nanomaterial plays a crucial role. In this paper, the mechanisms of nanomaterials shape control, approaches toward its synthesis, and the influence of nanomaterial shape on various biological activities of mammalian and microbial cells, such as proliferation, differentiation, and metabolism, as well as the prospects of this emerging field, are reviewed.

Role of Iron Oxide (Fe2O3) Nanocomposites in Advanced Biomedical Applications: A State-of-the-Art Review

“…The form and behavior of cells may be influenced by the IONP surficial charge or other nanomaterials [ 135 ]. Endocytosis by multiple cell lines was boosted through the coating of 10-nm-sized IONPs containing DMSA (anionic charge) [ 136 , 137 ], which decreased cell adherence and survival of the PC12 pheochromocytoma cell line in a concentration-dependent manner [ 138 ].…”

The alamar blue assay in the context of safety testing of nanomaterials

“…Damaged and/or non-viable cells have lower innate metabolic activity and thus generate a proportionally weaker signal than healthy cells. On the other hand, some compounds, including NMs, can increase the metabolism of the cells ( Kladko et al, 2021 ), which will result in a higher AB signal. Besides, alterations of cell proliferation are not always accompanied by cell death.…”

Inverse Material Search and Synthesis Verification by Hand Drawings via Transfer Learning and Contour Detection

“…due to ability to control its shape, size, morphology, surface chemistry, and composition, which strongly influence its physicochemical properties as well as a biological behavior. [1][2][3] The ever-growing amount of experimental data devoted to nanomaterials properties and its synthesis procedures creates the need for fully systematized data collection, storage, and precise search. Several annotated materials synthesis-related databases exist, [4][5][6] where the content is usually processed via natural language processing (NLP)-based text mining [7] allowing for either direct or inverse materials search from synthesis procedures to the outcome and vice versa.…”