Literature DB >> 16947120

Proteomic analysis of individual variation in normal livers of human beings using difference gel electrophoresis.

Xuequn Zhang1, Yuanbiao Guo, Yanping Song, Wei Sun, Chaohui Yu, Xiaohang Zhao, Hongyang Wang, Hongchi Jiang, Youming Li, Xiaohong Qian, Ying Jiang, Fuchu He.   

Abstract

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 approximately 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.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16947120     DOI: 10.1002/pmic.200600006

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  15 in total

1.  Synovial fluid proteins differentiate between the subtypes of juvenile idiopathic arthritis.

Authors:  Margalit E Rosenkranz; David C Wilson; Anthony D Marinov; Alisha Decewicz; Patrick Grof-Tisza; David Kirchner; Brendan Giles; Paul R Reynolds; Michael N Liebman; V S Kumar Kolli; Susan D Thompson; Raphael Hirsch
Journal:  Arthritis Rheum       Date:  2010-06

2.  Statistical analysis of variation in the human plasma proteome.

Authors:  Todd H Corzett; Imola K Fodor; Megan W Choi; Vicki L Walsworth; Kenneth W Turteltaub; Sandra L McCutchen-Maloney; Brett A Chromy
Journal:  J Biomed Biotechnol       Date:  2010-01-14

3.  Comparative proteomic analysis of livers from ketotic cows.

Authors:  Chuang Xu; Zhe Wang
Journal:  Vet Res Commun       Date:  2007-12-13       Impact factor: 2.459

4.  A novel function for vimentin: the potential biomarker for predicting melanoma hematogenous metastasis.

Authors:  Man Li; Baogang Zhang; Baocun Sun; Xuan Wang; Xinchao Ban; Tao Sun; Zhiyong Liu; Xiulan Zhao
Journal:  J Exp Clin Cancer Res       Date:  2010-08-11

5.  A mitochondria-dependent pathway mediates the apoptosis of GSE-induced yeast.

Authors:  Sishuo Cao; Wentao Xu; Nan Zhang; Yan Wang; YunBo Luo; Xiaoyun He; Kunlun Huang
Journal:  PLoS One       Date:  2012-03-05       Impact factor: 3.240

6.  Transcript and protein profiling analysis of OTA-induced cell death reveals the regulation of the toxicity response process in Arabidopsis thaliana.

Authors:  Yan Wang; Xiaoli Peng; Wentao Xu; Yunbo Luo; Weiwei Zhao; Junran Hao; Zhihong Liang; Yu Zhang; Kunlun Huang
Journal:  J Exp Bot       Date:  2011-12-29       Impact factor: 6.992

7.  Significance analysis of microarray for relative quantitation of LC/MS data in proteomics.

Authors:  Bryan A P Roxas; Qingbo Li
Journal:  BMC Bioinformatics       Date:  2008-04-10       Impact factor: 3.169

8.  Relationships between hematopoiesis and hepatogenesis in the midtrimester fetal liver characterized by dynamic transcriptomic and proteomic profiles.

Authors:  Yuanbiao Guo; Xuequn Zhang; Jian Huang; Yan Zeng; Wei Liu; Chao Geng; Ka Wan Li; Dong Yang; Songfeng Wu; Handong Wei; Zeguang Han; Xiaohong Qian; Ying Jiang; Fuchu He
Journal:  PLoS One       Date:  2009-10-28       Impact factor: 3.240

9.  Interindividual variation in the proteome of human peripheral blood mononuclear cells.

Authors:  Evelyne Maes; Bart Landuyt; Inge Mertens; Liliane Schoofs
Journal:  PLoS One       Date:  2013-04-11       Impact factor: 3.240

Review 10.  Bioinformatics in China: a personal perspective.

Authors:  Liping Wei; Jun Yu
Journal:  PLoS Comput Biol       Date:  2008-04-25       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.