Christelle Machon
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Articles (13)
Year:
2024
Year:
2024
Year:
2023
Performances of metabolomic methods have been widely studied on biological matrices such as serum, plasma, and urine; but much less on in vitro cell extracts. While the impact of cell culture and sample preparation on results are well-described, the specific effect of the in vitro cellular matrix on the analytical performance remains uncertain. The aim of the present work was to study the impact of this matrix on the analytical performance of an LC-HRMS metabolomic method. For this purpose, experiments were performed on total extracts from two cell lines (MDA-MB-231 and HepaRG) using different cell numbers. Matrix effects, carryover, linearity, and variability of the method were studied. Results showed that the performances of the method depend on the nature of the endogenous metabolite, the cell number, and the nature of the cell line. These three parameters should, therefore, be considered for the processing of experiments and the interpretation of results depending on whether the study focuses on a limited number of metabolites or aims to establish a metabolic signature.
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Year:
2021
Year:
2021
Year:
2021
Year:
2021
Year:
2020
Year:
2020
Collaborators (7)
David Bernard
-
Virginie Marcel
Université Claude Bernard Lyon 1
Jens Walter
Professor of Ecology, Food, and the Microbiome
University College Cork
Luiz O F Penalva
University of Texas Health Science Center at San Antonio
Camilla Pilati
Associate Professor
INSERM
Baptiste Panthu
Associate professor (maitre de conférence)
Université Claude Bernard Lyon 1
Lars Petter Jordheim
Université Claude Bernard Lyon 1
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