4.6 Article

High-sensitivity capillary electrophoresis method for monitoring purine nucleoside phosphorylase and adenosine deaminase reactions by a reversed electrode polarity switching mode

Journal

JOURNAL OF CHROMATOGRAPHY A
Volume 1218, Issue 29, Pages 4764-4771

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.chroma.2011.04.085

Keywords

Adenosine deaminase; Enzyme kinetics; Large-volume sample stacking; Melanoma; Micellar electrokinetic capillary electrophoresis; Nucleoside phosphorylase

Funding

  1. Deutscher Akademischer Austauschdienst (DAAD)

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A simple, efficient, and highly sensitive in-line CE method was developed for the characterization and for inhibition studies of the nucleoside-metabolizing enzymes purine nucleoside phosphorylase (PNP) and adenosine deaminase (ADA) present in membrane preparations of human 1539 melanoma cells. After filling the running buffer (50 mM borate buffer, 100 mM SDS, pH 9.10) into a fused-silica capillary (50 cm effective length x 75 mu m), a large sample volume was loaded by hydrodynamic injection (5 psi, 36s), followed by the removal of the large plug of sample matrix from the capillary using polarity switching (-20 kV). The current was monitored and the polarity was reversed when 95% of the current had been recovered. The separation of the neutral analytes (nucleosides and nucleobases) was performed by applying a voltage of 15 kV. An about 10-fold improvement of sensitivity for the five investigated analytes (adenosine, inosine, adenine, hypoxanthine, xanthine) was achieved by large-volume stacking with polarity switching when compared with CE without stacking. For inosine and adenine detection limits as low as 60 nM were achieved. To the best of our knowledge, this represents the highest sensitivity for nucleoside and nucleobase analysis using CE with UV detection reported so far. The Michaelis-Menten constants (K-m) for PNP and ADA and the inhibition constants (K-i) for standard inhibitors determined with the new method were consistent with literature data. (C) 2011 Elsevier B.V. All rights reserved.

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