Determination of the enzymatic activity of cytosolic 5′-nucleotidase cN-II in cancer cells: development of a simple analytical method and related cell line models - Université de Montpellier Accéder directement au contenu
Article Dans Une Revue Analytical and Bioanalytical Chemistry Année : 2015

Determination of the enzymatic activity of cytosolic 5′-nucleotidase cN-II in cancer cells: development of a simple analytical method and related cell line models

Résumé

The cytosolic 5'-nucleotidase (cN-II) has been shown to be involved in the response of cancer cells to cytotoxic agents, and the quantification of its activity in biological samples is of great interest. In this context, we developed and validated an analytical method for determination of cN-II activity in cultured cancer cells. This non-radioactive method, using a Hypercarb column as stationary phase, was validated with a lower limit of quantification of 0.1 μM inosine. We used it to characterize cell line models with modified cN-II expression obtained with stable transfections. We show that the short hairpin RNA (shRNA)-mediated inhibition of cN-II expression in various malignant blood cells is associated with decreased protein expression and enzymatic activity (1.7-6.2-fold) as well as an increased sensitivity to cytotoxic agents (up to 14-fold). On the other hand, expression of green fluorescent protein (GFP)-fused wild type or hyperactive mutant (R367Q) cN-II increased the activity and also decreased the sensitivity to nucleoside analogues. Our results confirm the biological relevance of modulating cN-II in cancer cells, and we present a straightforward validated method for the determination of cN-II activity in cellular samples.

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Chimie
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Dates et versions

hal-03556525 , version 1 (04-02-2022)

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Lars Petter Jordheim, Jean-Yves Puy, Emeline Cros-Perrial, Suzanne Peyrottes, Isabelle Lefebvre, et al.. Determination of the enzymatic activity of cytosolic 5′-nucleotidase cN-II in cancer cells: development of a simple analytical method and related cell line models. Analytical and Bioanalytical Chemistry, 2015, 407 (19), pp.5747-5758. ⟨10.1007/s00216-015-8757-4⟩. ⟨hal-03556525⟩
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