Title
Feasibility of electrodialysis as a fast and selective sample preparation method for the profiling of low-abundant peptides in biofluids
Author
Kamphorst, J.J.
Tjaden, U.R.
van der Heijden, R.
de Groot, J.
van der Greef, J.
Hankemeier, T.
TNO Kwaliteit van Leven
Publication year
2009
Abstract
Considerable interest exists in endogenous peptides as potential biomarkers, since they act as signaling molecules and are formed by degradation of proteins. A crucial step in the profiling of these peptides is the sample preparation, which aims to enrich the low-abundant peptides, while removing interfering matrix compounds. In a feasibility study we examined the suitability of electrodialysis (ED) for this purpose. A custom-made device was developed from the low-binding material Kel-F. It consisted of two compartments separated by a dialysis membrane, over which a voltage was applied. One compartment served as donor (containing the sample), while the smaller acceptor compartment collected the peptides. The procedure was optimized by investigating the effect of the applied voltage, ammonium acetate buffer concentration, and ED duration using model peptides. Optimum conditions were found at 300 V (150 V/cm), 25mM ammonium acetate buffer (pH 3.8) containing 20% v/v DMSO, and 10 min, respectively. With these optimized parameters, recoveries for the model peptides were found to be 35-85% (average 64%). Additionally, ED was successfully applied to the challenging synovial fluid biological sample (due to its high viscosity). In a synovial fluid sample from a rheumatoid arthritis patient, 27 peptides originating from 12 proteins were identified, of which a considerable fraction was not identified before with other methods. This demonstrates the usefulness and complementary nature of combining ED with nano-LCMS for biomarker discovery. These results indicate that ED is promising as a fast and selective sample preparation method for the profiling of endogenous peptides. © 2009 Wiley-VCH Verlag GmbH & Co. KGaA.
Subject
Nutrition
Food and Chemical Risk Analysis
Electrodialysis
Endogenous peptides
NanoLC-MS
Peptidomics
Sample preparation
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DOI
https://doi.org/10.1002/elps.200800500
TNO identifier
248233
ISSN
0173-0835
Source
Electrophoresis, 30 (13), 2284-2292
Document type
article