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Isotopic variations of copper at the protein fraction level in neuronal human cells exposed in vitro to uranium
Author(s) -
Eduardo Paredes,
Véronique Malard,
Claude Vidaud,
Émilie Avazeri,
Richard Ortega,
Anthony ll,
Hélène Isnard,
Fredéric Chartier,
Carole Bresson
Publication year - 2019
Publication title -
the analyst
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.998
H-Index - 153
eISSN - 1364-5528
pISSN - 0003-2654
DOI - 10.1039/c9an01081e
Subject(s) - copper , in vitro , uranium , chemistry , radiochemistry , fraction (chemistry) , environmental chemistry , biochemistry , chromatography , metallurgy , materials science , organic chemistry
The study of isotopic variations of endogenous and toxic metals in fluids and tissues is a recent research topic with an outstanding potential in biomedical and toxicological investigations. Most of the analyses have been performed so far in bulk samples, which can make the interpretation of results entangled, since different sources of stress or the alteration of different metabolic processes can lead to similar variations in the isotopic compositions of the elements in bulk samples. The downscaling of the isotopic analysis of elements at the sub-cellular level, is considered as a more promising alternative. Here we present for the first time the accurate determination of Cu isotopic ratios in four main protein fractions from lysates of neuron-like human cells exposed in vitro to 10 μM of natural uranium for seven days. These protein fractions were isolated by Size Exclusion Chromatography and analysed by Multi-Collector Inductively Coupled Plasma Mass Spectrometry to determine the Cu isotopic variations in each protein fraction with regard to the original cell lysate. Values obtained, expressed as δ 65 Cu, were -0.03 ± 0.14 ‰ (U c , k = 2), -0.55 ± 0.20 ‰ (U c , k = 2), -0.32 ± 0.21 ‰ (U c , k = 2) and +0.84 ± 0.21 ‰ (U c , k = 2) for the four fractions, satisfying the mass balance. The results obtained in this preliminary study pave the way for dedicated analytical developments to identify new specific disease biomarkers, to gain insight into stress-induced altered metabolic processes, as well as to decipher metabolic pathways of toxic elements.

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