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• W2046380004 abstract "Quantifying the variation in the human plasma proteome is an essential prerequisite for disease-specific biomarker detection. We report here on the longitudinal and individual variation in human plasma characterized by two-dimensional difference gel electrophoresis (2-D DIGE) using plasma samples from eleven healthy subjects collected three times over a two week period. Fixed-effects modeling was used to remove dye and gel variability. Mixed-effects modeling was then used to quantitate the sources of proteomic variation. The subject-to-subject variation represented the largest variance component, while the time-within-subject variation was comparable to the experimental variation found in a previous technical variability study where one human plasma sample was processed eight times in parallel and each was then analyzed by 2-D DIGE in triplicate. Here, 21 protein spots had larger than 50% CV, suggesting that these proteins may not be appropriate as biomarkers and should be carefully scrutinized in future studies. Seventy-eight protein spots showing differential protein levels between different individuals or individual collections were identified by mass spectrometry and further characterized using hierarchical clustering. The results present a first step toward understanding the complexity of longitudinal and individual variation in the human plasma proteome, and provide a baseline for improved biomarker discovery." @default.
• W2046380004 created "2016-06-24" @default.
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• W2046380004 date "2010-01-01" @default.
• W2046380004 modified "2023-10-14" @default.
• W2046380004 title "Statistical Analysis of Variation in the Human Plasma Proteome" @default.
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• W2046380004 doi "https://doi.org/10.1155/2010/258494" @default.
• W2046380004 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2814230" @default.
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