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Total Protein Extraction and 2-D Gel Electrophoresis Methods for Burkholderia Species
Published on: October 16, 2013
Efficient extraction of proteins from woody plant samples for two-dimensional electrophoresis
Cristina-Maria Vâlcu1, Katja Schlink
1Section of Forest Genetics, Technische Universität München, Freising-Weihenstephan, Germany. valcu@wzw.tum.de
Abstract:
Protein extraction from plant samples is usually challenging due to the low protein content and high level of contaminants. Therefore, the 2-DE pattern resolution is strongly influenced by the procedure of sample preparation. Efficient solubilization of proteins strictly depends on the chaotrope and detergent in the extraction buffer. Despite the large number of detergents that have been developed for the use in protein extraction and IEF, there is no single compound able to efficiently extract proteins from any source. Hence, optimization has to be performed for each type of sample. We tested several chaotrope/detergent combinations to achieve optimal solubilization and separation of proteins from Norway spruce [Picea abies (L.) H. Karst.] needles and European beech (Fagus sylvatica L.) leaves and roots. The same chaotrope mixture (7 M urea, 2 M thiourea) was found to be suitable for the extraction and separation of proteins from all samples. Nonetheless, the efficiency of the surfactants tested varied between samples so that optimal extraction and separation was achieved with different detergents or combination of detergents for each sample. The 2-DE separation of spruce needle proteins was optimal in a mixture of two zwitterionic detergents (2% CHAPS and 2% decyl dimethylammonio propanesulfonate). Beech proteins were best separated in buffers containing sugar-based detergents (2% n-octyl beta-D-glucopiranoside in the case of leaf samples and 2% dodecyl maltoside for the root samples). IEF was performed in buffers with the same composition as the extraction buffer except for the root proteins that were better focused in a buffer containing 2% CHAPS.
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