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. 2006 Mar 20;833(1):33-40.
doi: 10.1016/j.jchromb.2005.12.048. Epub 2006 Feb 7.

Reducing protein concentration range of biological samples using solid-phase ligand libraries

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Reducing protein concentration range of biological samples using solid-phase ligand libraries

Luc Guerrier et al. J Chromatogr B Analyt Technol Biomed Life Sci. .

Abstract

The discovery of specific polypeptides of diagnostic relevance from a biological liquid is complicated by the overall vast number and the large concentration range of all polypeptides/proteins in the sample. Depletion or fractionation methodologies have been used for selectively removing abundant proteins; however, they failed to significantly enrich trace proteins. Here we expand upon a new method that allows the reduction of the protein concentration range within a complex mixture, like neat serum, through the simultaneous dilution of high abundance proteins and the concentration of low abundance ones in a single, simple step. This methodology utilizes solid-phase ligand libraries of large diversity. With a controlled sample-to-ligand ratio it is possible to modulate the relative concentration of proteins such that a large number of peptides or proteins that are normally not detectable by classical analytical methods become, easily detectable. Application of this method for reducing the dynamic range of unfractionated serum is specifically described along with treatment of other biological extracts. Analytical surface enhanced laser desorption/ionization mass spectrometry (SELDI-MS) technology and mono- and two-dimensional electrophoresis (1-DE and 2-DE) demonstrate the increase in the number of proteins detected. Examples linking this approach with additional fractionation methods demonstrate a further increase in the number of detectable species using either the so-called "top down" or "bottom up" approaches for proteomics analysis. By enabling the detection of a greater proportion of polypeptides/proteins within a sample, this method may contribute significantly towards the discovery of new biomarkers of diagnostic relevance.

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