title: Interindividual variation in the proteome of human peripheral blood mononuclear cells.
abstract: Peripheral blood mononuclear cells (PBMCs) are main actors in inflammatory processes and linked to many diseases, including rheumatoid arthritis, atherosclerosis, asthma, HIV and cancer. Moreover, they seem an interesting 'surrogate tissue' that can be used in biomarker discovery. In order to get a good experimental design for quantitative expression studies, the knowledge of the interindividual variation is an essential part. Therefore, PBMCs were isolated from 24 healthy volunteers (15 males, 9 females, ages 63-86) with no clinical signs of inflammation. The extracted proteins were separated using the two dimensional difference in gel electrophoresis technology (2D-DIGE), and the gel images were processed with the DeCyder 2D software. Protein spots present in at least 22 out of 24 healthy volunteers were selected for further statistical analysis. Determination of the coefficient of variation (CV) of the normalized spot volume values of these proteins, reveals that the total variation of the PBMC proteome varies between 12,99% to 148,45%, with a mean value of 28%. A supplemental look at the causes of technical variation showed that the isolation of PBMCs from whole blood is the factor which influences the experimental variance the most. This isolation should be handled with extra care and an additional washing step would be beneficial. Knowing the extent of variation, we show that at least 10 independent samples per group are needed to obtain statistical powerful data. This study demonstrates the importance of considering variance of a human population for a good experimental design for future protein profiling or biomarker studies.
authors.affiliation: Research Group of Functional Genomics and Proteomics, KU Leuven, Leuven, Belgium. Evelyne.maes@bio.kuleuven.be
authors.forename: Evelyne
authors.initials: E
authors.lastname: Maes
authors.forename: Bart
authors.initials: B
authors.lastname: Landuyt
authors.forename: Inge
authors.initials: I
authors.lastname: Mertens
authors.forename: Liliane
authors.initials: L
authors.lastname: Schoofs
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006801:Humans; D007963:Leukocytes, Mononuclear / Q000378:metabolism*; D008297:Male; D040901:Proteomics; D012737:Sex Factors; D057825:Two-Dimensional Difference Gel Electrophoresis