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Proteomic analysis of individual variation in normal livers of human beings using difference gel electrophoresis
Author(s) -
Zhang Xuequn,
Guo Yuanbiao,
Song Yanping,
Sun Wei,
Yu Chaohui,
Zhao Xiaohang,
Wang Hongyang,
Jiang Hongchi,
Li Youming,
Qian Xiaohong,
Jiang Ying,
He Fuchu
Publication year - 2006
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200600006
Subject(s) - variation (astronomy) , proteomics , biology , gel electrophoresis , electrophoresis , computational biology , microbiology and biotechnology , chromatography , chemistry , genetics , gene , physics , astrophysics
Normal Chinese Liver Proteome Expression Profile is one of the major parts of Human Liver Proteome Project. Before starting the studies, it is necessary to examine the interindividual variation of normal liver proteome and evaluate the minimal size of samples for proteomic analysis. In this study, normal liver samples from ten individual volunteers were collected and the proteome profiles of these samples were analyzed using 2‐D difference gel electrophoresis (DIGE) combined with MALDI‐TOF/TOF MS. The individual liver tissue lysates were labeled with Cy3 and Cy5 while the pooled sample was labeled with Cy2 as an internal standard, which minimized gel‐to‐gel variation. After analysis by the DeCyder software, up to 2056 protein spots were detected on the master gel. The CV of standardized abundance was calculated for the protein spots that were matched across all ten gels. The CV values of these protein spots ranged from 6.4 to 108.5% and the median CV was ∼19%, which demonstrated that the protein expression of normal liver among different individuals was relatively stable. The eight proteins with CV values over 50% were identified which would be a caveat when considering these proteins as potential disease‐related markers. Moreover, the one‐way ANOVA feature showed a correlation between sample size and individual variations. The results showed that when the sample size exceeded 7, the individual variations were not significant to the whole pool. Our results are an important basis for liver protein expression profiles and comparative proteomics of liver disease.