Tumor acidic environment directs nanoparticle impacts on cancer cells

Ghaemi, Behnaz; Hajipour, Mohammad Javad

doi:10.1016/j.jcis.2022.12.019

Cited by 5 publications

(1 citation statement)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To this aim, the knowledge of the nGO effect in relation to their concentration and degree of oxidation is highly demanding. Nanotoxicology and nanomedicine make extensive use of in-vitro cellular assays, such as flow cytometry-based assay using fluorophores [21], Comet assay [22,23], Alamar Blue, neutral red (NR), 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT), and 2-(4-iodophenyl)-3-(4-nitrophenyl)-5-(2,4-disulfophenyl)-2 H-tetrazolium (WST-1) [24][25][26], which were developed prior to the nanotechnology era and the introduction of graphene-based nanomaterials affects the accuracy of this type of standard assays, due to the interference of nano-particles with the above-mentioned assays. In general, NPs can interfere with optical measurements through light absorption interacting with dyes used as molecular probes of cellular integrity [27,28].…”

Section: Introductionmentioning

confidence: 99%

QPI assay of fibroblasts resilience to adverse effects of nanoGO clusters by multimodal and multiscale microscopy

Valentino,

Pirone,

Béhal

et al. 2024

J. Phys. Photonics

View full text Add to dashboard Cite

Graphene is considered a possible drug deliver in nanomedicine for its mechanical, physical and chemical characteristics. Thus, studying graphene biocompatibility is pivotal to contribute to the modern nano-therapy science. The coexistence between cells and graphene should be analysed using non-invasive technologies and thus Quantitative Phase Imaging (QPI) modalities are suitable to investigate the morphometric evolution of cells under nanomaterial exposure. Here, we show how a multimodal QPI approach can furnish a non-invasive analysis for probing the dose-dependent effect of nanoGO clusters on adherent NIH 3T3 fibroblast cells. We rely on both Digital Holography (DH) and Fourier Ptychographic Microscopy (FPM) in transmission microscopy mode. The former allows accurate time-lapse experiments at the single cell level. The latter provides a wide field of view characterization at the cells network level, thus assuring a significant statistical measurement by exploiting the intrinsic large space-bandwidth product of FPM. The combination of these two techniques allows one to extract multimodal information about the cell resilience to adverse effects of nanoGO in the surrounding buffer, namely through quantitative, multi-scale, and time-resolved characterization.

show abstract