Title :

Toxicity assessment of titanium dioxide nanoparticles on microorganisms through topological data analysis of high dimensional single-cell nanomechanical data.

Author(s) :

Offroy, M. [Auteur]
Laboratoire Interdisciplinaire des Environnements Continentaux [LIEC]
Université de Lorraine [UL]
Duponchel, Ludovic [Auteur]
Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement (LASIRE) - UMR 8516
Razafitianamaharavo, A. [Auteur]
Laboratoire Interdisciplinaire des Environnements Continentaux [LIEC]
Pagnout, C. [Auteur]
Laboratoire Interdisciplinaire des Environnements Continentaux [LIEC]
Duval, J. F. L. [Auteur]
Laboratoire Interdisciplinaire des Environnements Continentaux [LIEC]

Journal title :

Talanta

Abbreviated title :

Talanta

Volume number :

286

Pages :

127482

Publication date :

2025-01-04

ISSN :

1873-3573

English keyword(s) :

Toxicity assessment
Nanoparticles
Topological data analysis
Atomic force microscopy
Biomechanics
Imaging
Data mining

HAL domain(s) :

Chimie/Chimie théorique et/ou physique

English abstract : [en]

There is a growing interest in the development of methods for the detection of nanoparticle (NP) toxicity to living organisms based on the analysis of relevant multidimensional data sets. In particular the detection of ...
Show more >There is a growing interest in the development of methods for the detection of nanoparticle (NP) toxicity to living organisms based on the analysis of relevant multidimensional data sets. In particular the detection of preliminary signs of NPs toxicity effects would benefit from the selection of data featuring NPs-induced alterations of biological barriers. Accordingly, we present an original Topological Data Analysis (TDA) of the nanomechanical properties of Escherichia coli cell surface, evaluated by multiparametric Atomic Force Microscopy (AFM) after exposure of the cells to increasing concentrations of titanium dioxide nanoparticles (TiO2NPs). Topological networks are generated from spatially resolved multidimensional nanomechanical cell data consisting of elastic moduli, turgor pressures and AFM tip indentations of the biosurface. The topological networks reflect the resistance/sensitivity of cells to TiO2NPs as a function of cell surface phenotype, and the methodology further highlights heterogeneities in response at the single cell and multi-individual levels. Overall, the method provides an efficient approach to assess nanoparticle toxicity without requiring prior knowledge, while naturally accounting for variability in cellular response at different scales.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CNRS

Collections :

• Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement (LASIRE) - UMR 8516

Research team(s) :

Propriétés magnéto structurales des matériaux (PMSM)

Submission date :

2025-01-08T22:00:29Z
2025-01-17T09:44:40Z