title: Sample preparation and fractionation for proteome analysis and cancer biomarker discovery by mass spectrometry.
abstract: Sample preparation and fractionation technologies are one of the most crucial processes in proteomic analysis and biomarker discovery in solubilized samples. Chromatographic or electrophoretic proteomic technologies are also available for separation of cellular protein components. There are, however, considerable limitations in currently available proteomic technologies as none of them allows for the analysis of the entire proteome in a simple step because of the large number of peptides, and because of the wide concentration dynamic range of the proteome in clinical blood samples. The results of any undertaken experiment depend on the condition of the starting material. Therefore, proper experimental design and pertinent sample preparation is essential to obtain meaningful results, particularly in comparative clinical proteomics in which one is looking for minor differences between experimental (diseased) and control (nondiseased) samples. This review discusses problems associated with general and specialized strategies of sample preparation and fractionation, dealing with samples that are solution or suspension, in a frozen tissue state, or formalin-preserved tissue archival samples, and illustrates how sample processing might influence detection with mass spectrometric techniques. Strategies that dramatically improve the potential for cancer biomarker discovery in minimally invasive, blood-collected human samples are also presented.
authors.affiliation: Department of Radiation Oncology, Leo W. Jenkins Cancer Center, The Brody School of Medicine at East Carolina University, Greenville, NC, USA. gemtoxcocsultants@yahoo.com
authors.forename: Farid E
authors.initials: FE
authors.lastname: Ahmed
mesh_terms: D053000:Analytic Sample Preparation Methods / Q000379:methods*; D014408:Biomarkers, Tumor / Q000032:analysis*; D005591:Chemical Fractionation / Q000379:methods*; D013058:Mass Spectrometry / Q000379:methods*; D020543:Proteome / Q000032:analysis*; D040901:Proteomics / Q000379:methods*
chemical_list: D014408:Biomarkers, Tumor; D020543:Proteome