A Fully Automated System with Online Sample Loading, Isotope Dimethyl Labeling and Multidimensional Separation for High-Throughput Quantitative Proteome Analysis

被引:62
作者
Wang, Fangjun [1 ]
Chen, Rui [1 ]
Zhu, Jun [1 ]
Sun, Deguang [2 ]
Song, Chunxia [1 ]
Wu, Yifeng [2 ]
Ye, Mingliang [1 ]
Wang, Liming [2 ]
Zou, Hanfa [1 ]
机构
[1] Chinese Acad Sci, Dalian Inst Chem Phys, Natl Chromatog Res & Anal Ctr, CAS Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China
[2] Dalian Med Univ, Affiliated Hosp 1, Dalian 116027, Peoples R China
关键词
DIFFERENCE GEL-ELECTROPHORESIS; SPECTROMETRY-BASED PROTEOMICS; CODED AFFINITY TAGS; HEPATOCELLULAR-CARCINOMA; MASS-SPECTROMETRY; BIOMARKER DISCOVERY; CELL-CULTURE; AMINO-ACIDS; PROTEINS; IDENTIFICATION;
D O I
10.1021/ac100075y
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Multidimensional separation is often applied for large-scale qualitative and quantitative proteome analysis. A fully automated system with integration of a reversed phase-strong cation exchange (RP-SCX) biphasic trap column into vented sample injection system was developed to realize online sample loading, isotope dimethyl labeling and online multidimensional separation of the proteome samples. Comparing to conventionally manual isotope labeling and off-line fractionation technologies, this system is fully automated and time-saving, which is benefit for improving the quantification reproducibility and accuracy. As phosphate SCX monolith was integrated into the biphasic trap column, high sample injection flow rate and high-resolution stepwise fractionation could be easily achieved. similar to 1000 proteins could be quantified in similar to 30 h proteome analysis, and the proteome coverage of quantitative analysis can be further greatly improved by prolong the multidimensional separation time. This system was applied to analyze the different protein expression level of HCC and normal human liver tissues. After three times replicated analysis, finally 94 up-regulated and 249 down-regulated (HCC/Normal) proteins were successfully obtained. These significantly regulated proteins are widely validated by both gene and proteins expression studies previously. Such as some enzymes involved in urea cycle, methylation cycle and fatty acids catabolism in liver were all observed down-regulated.
引用
收藏
页码:3007 / 3015
页数:9
相关论文
共 47 条
  • [1] Proteomics: From Technology Developments to Biological Applications
    Abu-Farha, Mohamed
    Elisma, Fred
    Zhou, Houjiang
    Tian, Ruijun
    Zhou, Hu
    Asmer, Mehmet Selim
    Figeys, Daniel
    [J]. ANALYTICAL CHEMISTRY, 2009, 81 (12) : 4585 - 4599
  • [2] Mass spectrometry-based proteomics
    Aebersold, R
    Mann, M
    [J]. NATURE, 2003, 422 (6928) : 198 - 207
  • [3] Proteomics of breast cancer - Principles and potential clinical applications
    Bertucci, Francois
    Birnbaum, Daniel
    Goncalves, Anthony
    [J]. MOLECULAR & CELLULAR PROTEOMICS, 2006, 5 (10) : 1772 - 1786
  • [4] Boersema P, 2009, MOL CELL PROTEOMICS, pS47
  • [5] Multiplex peptide stable isotope dimethyl labeling for quantitative proteomics
    Boersema, Paul J.
    Raijmakers, Reinout
    Lemeer, Simone
    Mohammed, Shabaz
    Heck, Albert J. R.
    [J]. NATURE PROTOCOLS, 2009, 4 (04) : 484 - 494
  • [6] Triplex protein quantification based on stable isotope labeling by peptide dimethylation applied to cell and tissue lysates
    Boersema, Paul J.
    Aye, Thin Thin
    van Veen, Toon A. B.
    Heck, Albert J. R.
    Mohammed, Shabaz
    [J]. PROTEOMICS, 2008, 8 (22) : 4624 - 4632
  • [7] A quantitative proteomic approach for identification of potential biomarkers in hepatocellular carcinoma
    Chaerkady, Raghothama
    Harsha, H. C.
    Nalli, Anuradha
    Gucek, Marjan
    Vivekanandan, Perumal
    Akhtar, Javed
    Cole, Robert N.
    Simmers, Jessica
    Schulick, Richard D.
    Singh, Sujay
    Torbenson, Michael
    Pandey, Akhilesh
    Thuluvath, Paul J.
    [J]. JOURNAL OF PROTEOME RESEARCH, 2008, 7 (10) : 4289 - 4298
  • [8] Quantitative proteome analysis of HCC cell lines with different metastatic potentials by SILAC
    Chen, Ning
    Sun, Wei
    Deng, Xinyu
    Hao, Yunwei
    Chen, Xilin
    Xing, Baocai
    Jia, Wei
    Ma, Jie
    Wei, Handong
    Zhu, Yunping
    Qian, Xiaohong
    Jiang, Ying
    He, Fuchu
    [J]. PROTEOMICS, 2008, 8 (23-24) : 5108 - 5118
  • [9] Proteomic profiling of pancreatic cancer for biomarker discovery
    Chen, R
    Pan, S
    Brentnall, TA
    Aebersold, R
    [J]. MOLECULAR & CELLULAR PROTEOMICS, 2005, 4 (04) : 523 - 533
  • [10] Glycoproteomics Analysis of Human Liver Tissue by Combination of Multiple Enzyme Digestion and Hydrazide Chemistry
    Chen, Rui
    Jiang, Xinning
    Sun, Deguang
    Han, Guanghui
    Wang, Fangjun
    Ye, Mingliang
    Wang, Liming
    Zou, Hanfa
    [J]. JOURNAL OF PROTEOME RESEARCH, 2009, 8 (02) : 651 - 661