Proteome Maps of the Main Human Peripheral Blood Constituents

被引:45
作者
Haudek, Verena J. [1 ]
Slany, Astrid [1 ]
Gundacker, Nina C. [1 ]
Wimmer, Helge [2 ]
Drach, Johannes [3 ]
Gerner, Christopher [1 ]
机构
[1] Med Univ Vienna, Dept Med 1, Inst Canc Res, Vienna, Austria
[2] Univ Appl Sci, Sect Biomed Lab Sci, Vienna, Austria
[3] Med Univ Vienna, Dept Med 1, Dept Clin Oncol, Vienna, Austria
关键词
proteome profiling; peripheral blood mononuclear cells; 2D-PAGE; shotgun proteomics; plasma; platelets; T cells; monocytes; neutrophils; erythrocytes; HUMAN PLASMA PROTEOME; MONONUCLEAR-CELLS; PLATELET PROTEOME; PROTEINS; DATABASE; INTERVENTION; EFFICIENCY; MONOCYTES; ABUNDANCE; PROFILES;
D O I
10.1021/pr801085g
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Clinical proteome analysis will almost inevitably be confronted with blood constituents. Purified plasma, serum, cell or tissue samples may easily be contaminated with some other constituents, affecting the final proteome analysis result. To recognize proteins which are potentially indicative for the presence of major blood constituents, we purified T cells, monocytes, neutrophils, erythrocytes, platelets and plasma and performed comparative proteome profiling employing 2D-PAGE in addition to shotgun proteomics. By mass analysis, 594 different proteins were identified in the 2D gels. Six of the 594 proteins displayed a highly specific expression pattern. A total of 1774 proteins were identified by shotgun proteomics, including 50 proteins with highly specific expression patterns. Indeed, proteins specific for each of the constituents were successfully identified. All protein lists including mass spectrometry details and expression specificity are freely available via the PRIDE database and the CPL/MUW database. The present protein maps of each of the constituents may serve as references for comparative analyses and will aid the interpretation of proteome profiles of clinical samples.
引用
收藏
页码:3834 / 3843
页数:10
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