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Combinatorial peptide ligand libraries and plant proteomics: a winning strategy at a price

Boschetti, E., Bindschedler, L. V., Tang, C., Fasoli, E. and Righetti, P. G. (2009) Combinatorial peptide ligand libraries and plant proteomics: a winning strategy at a price. Journal of Chromatography, 1216 (8). pp. 1215-22. ISSN 0021-9673

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To link to this item DOI: 10.1016/j.chroma.2008.11.098

Abstract/Summary

The mechanism of action and properties of a solid-phase ligand library made of hexapeptides (combinatorial peptide ligand libraries or CPLL), for capturing the "hidden proteome", i.e. the low- and very low-abundance proteins constituting the vast majority of species in any proteome, as applied to plant tissues, are reviewed here. Plant tissues are notoriously recalcitrant to protein extraction and to proteome analysis. Firstly, rigid plant cell walls need to be mechanically disrupted to release the cell content and, in addition to their poor protein yield, plant tissues are rich in proteases and oxidative enzymes, contain phenolic compounds, starches, oils, pigments and secondary metabolites that massively contaminate protein extracts. In addition, complex matrices of polysaccharides, including large amount of anionic pectins, are present. All these species compete with the binding of proteins to the CPLL beads, impeding proper capture and identification / detection of low-abundance species. When properly pre-treated, plant tissue extracts are amenable to capture by the CPLL beads revealing thus many new species among them low-abundance proteins. Examples are given on the treatment of leaf proteins, of corn seed extracts and of exudate proteins (latex from Hevea brasiliensis). In all cases, the detection of unique gene products via CPLL capture is at least twice that of control, untreated sample.

Item Type:Article
Refereed:Yes
Divisions:Life Sciences > School of Biological Sciences
ID Code:9567
Uncontrolled Keywords:*Combinatorial Chemistry Techniques, Ligands, *Peptide Library, Plant Proteins/*chemistry, *Proteomics

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